Data & Analytics Enablement Guide for Resellers
May 2021 Table of Table of Contents Contents
Table of Contents 1 Purpose, Guidance Purpose, Guidance & Introduction 2 & Introduction Interactive Diagram 3 Interactive Analytic Data Management & Integration Platforms 4 Diagram Overview 4 Analytic Data Management 5 Analytic Data Management Analytic Data Integration & Integrity Tools 6 & Integration Platforms Continuous Analytics Tools 7 BI & Analytics Tools BI & Analytics Tools and Platforms 8 and Platforms Overview 8 End-User Query, Reporting, & Analysis Tools 9 Performance Management Advanced & Predictive Analytics Tools 10 & Analytics Applications Content Analytics Tools 11 Search Systems 12 Analytics in Industries Spatial & Location Analysis Tools 13 AI Software Platforms 14 Performance Management & Analytics Applications 15 Appendix Overview 15 Solutions & Products 16 Analytics in Industries 17 Overview 17 Healthcare 18 Manufacturing 19 Retail 20 Public Sector/Smart Cities 21 Appendix 22 Tech Data Solutions and Services 22 Definitions 23-25 Learn more 26
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Analytic Data Management Introduction & Integration Platforms The crowded analytics and BI market includes everything from long-standing and large technology players to venture capital-backed startups, and smaller, BI & Analytics Tools privately funded software vendors. Vendors of traditional BI platforms have evolved their capabilities to include modern, visual-based data discovery that also and Platforms includes governance, and more recently, augmented analytics. Newer vendors continue to evolve the capabilities that once focused primarily on agility, by extending them to enable greater governance and scalability, as well as publishing and sharing. Performance Management & Analytics Applications The correct analytics software system can mean the difference between success and failure. It’s easy to understand that your customers need an analytics solution to maximize their cost savings. The hard part comes when they are filtering through all the potential options. Analytics in Industries
The Big Data and Analytics (BDA) software market represents a collection of software tools and applications for data extraction, integration, governance, Appendix movement, curation, analysis, and visualization deployed to support or automate a broad range of strategic, operational, and tactical decision making. Based on IDC’s BDA taxonomy there are three primary BDA segments:
Analytic Data Management & A set of tools for the creation and ongoing management of data repositories to support analytic workloads Integration Platforms
BI & Analytics Tools and Prepackaged analytic applications for specific business functions and/or industries Platforms
Performance Management Prepackaged analytic applications that support decision making and analytics functions and provide business process support, and Analytics Apps separation of function and time-oriented integrated data from multiple sources Table of Data Data Integration Data Warehouse BI, AI, & Contents Sources & Data Management & Data Lake Predictive Analysis Purpose, Guidance & Introduction
Search Systems, Edge Compute/Edge AI Streaming Data/ Analytic Data Management Advanced & Predictive Analytics Tools, Interactive Continuous Analytics Database Systems Content Analytics Tools Diagram Streaming / In Motion Message Broker Analytic Data Management & Integration Platforms IoT Sensors Unstructured Wired /WIFI / Cellular / LPWAN Connectivity AI / ML Compute BI & Analytics Tools Data IoT IoT Platform / Edge Analytics Data Lake Continuous Automatic Learning Image and Platforms Video • Device Management Audio • • Rules Processing Nonrelational Analytics • AI / ML Model Development & Performance Management • Streaming Integration Data Stores • Streaming Analytics • Dynamic Data Management Testing Environment & Analytics Applications Systems File Data • No SQL Database/Data Lake IoT Semi- Analytics in Industries structured Social Data Data Email HTML GPS Traffic Appendix Weather Application/ Service Delivery
Application Master Data Management Data Warehouse BI / Reporting Legacy Data /Databases Click on any of the colored items Business Metadata Management • • Relational Data Dashboards and Data Visualizations in the diagram for more detail Applications ERP • Production Reporting Tools Management System • Data Mining & Statistical Software CRM • Data Preparation (RDBMS) SCM • • Model Management • Data Quality Relational Data Warehouse • Predictive Modelling Help Desk • Excel Data Integration • Image & Video Analytics
ETL / ELT, API Connectors, Database, Connectors Database, Connectors, API / ELT, ETL • ITSM Data Governance Data Virtualization / Containers • Decision Automation Key
Analytic Data Management Robotic Process Automation & Integration Platforms
Security & Governance BI and Analytics Tools and Platforms
Data Acquisition Data Value Creation Internal Business Value External Business Value Performance Management and Analytics Apps Table of Contents
Purpose, Guidance Analytic Data Management & Integration Platforms & Introduction Interactive IDC defines analytic data management and integration platforms as a sets of tools for the Diagram creation and ongoing management of data repositories to support analytic workloads. This segment includes three market subsegments: Analytic Data Management & Integration Platforms
Overview
Analytic Data Management Analytic Data Management
Analytic Data Integration & Integrity Tools Analytic Data Integration & Integrity Tools Continuous Analytics Tools
Continuous Analytics Tools BI & Analytics Tools and Platforms
Performance Management & Analytics Applications
Analytics in Industries
Appendix
To learn more. visit: https://recon.techdata.com/spitool/ Table of Analytic Data Management Contents Analytic data management software includes relational database management systems (RDBMSs) and a broad range of nonrelational data stores and dynamic data management environments used to build and maintain data warehouses, data marts, and other analytic data stores. This software market is divided into two Purpose, Guidance & Introduction segments: Relational data warehouse and Nonrelational analytic data stores. Interactive Diagram KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME Analytic Data Management • Relational Data Warehouse Oracle: Oracle Database Teradata: Teradata & Integration Platforms • Data Marts IBM: DB2; PostgreSQL Pivotal: Greenplum Microsoft: SQL Server; Azure Cosmos DB SAP: BW/4HANA; Sybase IQ; Snowflake Overview Amazon: Redshift Analytic Data Management
Analytic Data Integration & Integrity Tools Document Oriented Database Document Oriented Database • Dynamic Data Management Continuous Analytics Tools IBM: Cloudant Couchbase: Couchbase Server • Nonrelational Data Stores MongoDB: MongoDB MarkLogic: MarkLogic Database Amazon: DynamoDB Graph Database BI & Analytics Tools and Platforms Graph Database DataStax: Titan IBM: Compose for JanusGraph Franz Inc: AllegroGraph Performance Management Key Accessible Database Neo Technology: Neo4 & Analytics Applications Objectivity: InfiniteGraph Amazon: SimpleDB OrientDB, Cray: Urika Oracle: NoSQL DB Analytics in Industries Google: Bigtable Key Accessible Database Basho: Riak DataStax: Distribution of Apache Cassandra Appendix
Scalable Data Collection Managers Scalable Data Collection Managers • Data Lake Cloudera: Cloudera Data Platform MapR: Hadoop Oracle: OAC Data Lake Pivotal: Hadoop Amazon: Elastic MapReduce (EMR) HD Microsoft: HDInsight IBM: Cloudera Data Platform (Cloud Pak for Data)
Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of Analytic Data Integration & Integrity Tools Contents
This software enables the access, blending, movement, and integrity of data among multiple data sources. It is also the conduit that enable users to connect to Purpose, Guidance structured and unstructured data contained within various types of storage platform (relational and nonrelational), both on-premises and in the cloud. The data & Introduction integration and integrity software market includes bulk data movement software (such as data extraction, transformation, and loading [ETL] tools), data quality software, data access infrastructure, composite data frameworks, master data definition and control software, metadata management software, and self-service Interactive data preparation software. Diagram
Analytic Data Management KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME & Integration Platforms
• ETL Tools Alteryx: Data Platform SAS: Data Quality Overview • Data Quality Software Software AG: webMethods Talend: Data Integration Analytic Data Management • Data Access Infrastructure Hitachi: Pentaho Data Integration Altair: Datawatch Monarch • Data Frameworks IBM: InfoSphere, BigIntegrate, Pitney Bowes: Spectrum Enterprise Data Integration Analytic Data Integration & InfoSphere Server on Hadoop, • Master Data Management Information Builders: iWay Integrity Tools Data Stage (Cloud Pak for Data) Synscort: Integrate • Control Tools Microsoft: Azure Data Factory, SQL Server Informatica: PowerCenter, Integration Hub Continuous Analytics Tools • Metadata Management Integration Services (SSIS) SAP: Master Data Governance • Data Preparation Software Oracle: Data Integrator, Golden Gate, Tableau: Tableau BI & Analytics Tools Big Data (SQL) and Platforms Red Hat: Fuse, Fuse Onlin, AMQ, Data Virtualization, API Management Performance Management MongoDB: Stitch, Connector BI Connector & Analytics Applications Spark EMC: Dell EMC Cloudera Syncsort ETL Analytics in Industries Offload Hadoop Solution Veritas: 360 Data Management Suite, Data Insight, Information Map Appendix
Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of Continuous Analytics Tools Contents
Continuous analytics is software used for real-time and near-real-time decision support and decision automation. Continuous analytics is in-motion technology that Purpose, Guidance continuously receives and transforms data in real-time and in micro batches. It is software made up of two primary segments: streaming integration and streaming & Introduction analytics. Interactive Diagram
KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME Analytic Data Management & Integration Platforms • Streaming Integration IBM: Message Hub & InfoSphere Splunk: Universal Forwarded Change Data Capture Talend: Data Integration Overview Hitachi: Pentaho Data Integration Informatica: PowerCenter Real Time Edition Microsoft: Azure Data Factory & Event Analytic Data Management Hubs Analytic Data Integration & Oracle: Golden Gate Integrity Tools AWS: Kinesis Firehose Continuous Analytics Tools
BI & Analytics Tools • Streaming Analytics IBM: Streams PTC: ThingWorx and Platforms • Edge Analytics Microsoft: Azure Stream Analytics Salesforce: Thunder Hitachi: Streaming Data Platform, SAS: Event Stream Processing Performance Management Pentaho TIBCO: StreamBase & Business Events & Analytics Applications SoftwareAG: Apama Streaming Analytics SQLstream AWS: Kinesis Analytics in Industries Oracle: Event Hub Cloud Service Cloudera: Streaming Analytics Appendix
Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of Contents
Purpose, Guidance BI & Analytics Tools and Platforms & Introduction Interactive Business Intelligence tools utilize a set of methodologies and technologies to prepare, present Diagram and help analyze data. Through this process, data is turned into actionable business information which helps decision makers and end users to make more effective data-driven decisions. Based Analytic Data Management on IDC’s Big Data and Analytics Taxonomy, this primary segment includes six subsegments: & Integration Platforms
BI & Analytics Tools and Platforms End-User Query, Reporting, & Analysis Tools Overview
End-User Query, Reporting, & Advanced & Predictive Analytics Tools Analysis Tools Advanced & Predictive Analytics Tools
Content Analytics Tools Content Analytics Tools
Search Systems Search Systems Spatial & Location Analysis Tools AI Software Platforms
Spatial & Location Analysis Tools Performance Management & Analytics Applications
AI Software Platforms Analytics in Industries
Appendix
To learn more. visit: https://recon.techdata.com/spitool/ Table of End-User Query, Reporting, & Analysis Tools Contents
End-user query, reporting, and analysis tools include ad hoc query and multidimensional analysis tools as well as dashboards, data visualization, and production Purpose, Guidance reporting tools. Various query, reporting, and analysis tools are designed for either IT or business users. This category does not include application development & Introduction tools that may be used for building reports but are not specifically designed for that purpose. Multidimensional analysis tools include both client-side and server- side software that provide a data management environment used for modeling business problems and analyzing business data. Packaged data marts, which are Interactive preconfigured software combining data transformation, management, and access in a single package, are also included in this functional market. Diagram
Analytic Data Management KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME & Integration Platforms
• Ad-hoc Query and IBM: Congos Analytics, Planning SAP: Analytics Cloud BI & Analytics Tools Multidimensional Analysis Analytics Salesforce: Einstein Analytics and Platforms Tools TD BSP for Congos: Meta Manager, Integrated OpenText: Analytics Overview • Dashboards Management Suite Qlik: Qlik Sense & QlikView Oracle: Analytics Infor: Birst • Data Visualizations End-User Query, Reporting, & Microsoft: PowerBI TIBCO: Spotfire • Analysis Tools Production Reporting Tools MicroStrategy Business Intelligence Tableau: Tableau • Business Problems Modeling Amazon: QuickSight Advanced & Predictive • Business Data Analysis Google: Cloud Datalab Analytics Tools • Packaged Data Marts Hitachi: Pentaho Business Analytics Content Analytics Tools
Search Systems
Spatial & Location Analysis Tools
AI Software Platforms
Performance Management & Analytics Applications
Analytics in Industries
Appendix
Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of Advanced & Predictive Analytics Tools Contents
Advanced and predictive analytics tools include data mining and statistical software. These tools use a range of techniques to create, test, and execute statistical Purpose, Guidance models. Some techniques used are machine learning, regression, neural networks, rule induction, and clustering. Advanced and predictive analytics tools and & Introduction techniques are used to discover relationships in data and make predictions that are hidden, not apparent, or too complex to be extracted using query, reporting, and multidimensional analysis software. Products on the market vary in scope. Some products include their own programming language and algorithms for building Interactive models, but other products include scoring engines and model management features that can execute models built using proprietary or open source modeling Diagram languages. Analytic Data Management & Integration Platforms KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME BI & Analytics Tools Alteryx: Analytics Process Automation SAS: Analytics & SAS Enterprise Miner and Platforms • Data Mining and Statistical SoftwareAG: Zemantis Predictive Analytics Mathworks: MATLAB Software IBM: Watson Studio, Watson Machine FICO: FICO Model Builder Overview • Machine Learning Learning, SPSS (Predictive TIBCO: Statistica End-User Query, Reporting, & • Predictive Analysis Analytics), ILOG CPLEX SAP: Predictive Analytics Analysis Tools • Decision Automation (Decision Opt) RapidMiner Predictive Analytics Oracle: Advanced Analytics Advanced & Predictive • Scoring Engines Analytics Tools • Model Management Microsoft: Machine Learning Server Hitachi: Pentaho Machine Learning Content Analytics Tools w/ML Orchestration Automation Anywhere: AI, ML, NLP Search Systems Digitate: ignio™ AIOps Spatial & Location Analysis Tools
AI Software Platforms
Performance Management & Analytics Applications
Analytics in Industries
Appendix
Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of Content Analytics Tools Contents
Content analytics systems provide tools for recognizing, understanding, and extracting value from text or by using similar technologies to generate human Purpose, Guidance readable text. This submarket also includes language analyzers and automated language translation as well as text clustering and categorization tools. This & Introduction submarket also includes software for recognizing, identifying, and extracting information from audio, voice, and speech data as well as speech identification and recognition plus converting sounds into useful text. Finally, this submarket includes software for recognizing, identifying, and extracting information from images Interactive and video, including pattern recognition, objects, colors, and other attributes such as people, faces, cars, and scenery. The Content Analytics Tools in this Diagram submarket are typically categorized as Text analytics, Audio and voice/speech recognition and analytics or Image and video analytics tools. Analytic Data Management & Integration Platforms KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME • Text Analytics Oracle: Data Mining SAP HANA: Text Analytics BI & Analytics Tools IBM: Watson Discovery Basis Technology: Rosette and Platforms kCura: Content Analyst SDL: TMS Overview Clarabridge: CX Analytics End-User Query, Reporting, & Linguamatics: I2E Analysis Tools Lexalytics: Semantra SAS: Text Miner Advanced & Predictive Automated Insights: Wordsmith Analytics Tools Concept Searching: Compound Term Processing Content Analytics Tools IBM: Watson APIs Nuance: Automated Speech Recognition • Audio & Voice/Speech Search Systems Recognition & Analytics Microsoft: Windows Speech Recognition & Natural Language Understanding Google: Cloud Speech API Nexidia: Analytics & Capture Spatial & Location Analysis Tools Scribe: Capture M*Modal: Fluency Direct AI Software Platforms Voicebox: VoiceAI Performance Management • Image & Video Analytics IBM: Watson APIs Avigilon: Appearance Searcy & Analytics Applications Hitachi: Lumada Video Insights, Pentaho Agent Video Intelligence: savVi & innoVi Machine Learning, Hitachi Imagga Content Intelligence Object Video & Analytics in Industries HPE: Media Management & Analytics Intelligent Technologies: iVMD Axis Communications: Camera Application Platform Cognex: Machine Vision Cisco: Pulse Video Analytics Allied Vision: VIMBA Appendix Bosch: Intelligent Video Analytics Honeywell: Active Alert NICE Systems: Engage Clarifai
Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of Search Systems Contents
Search systems include departmental, enterprise, and task-based search and discovery systems as well as cloud-based and personal information access systems. This Purpose, Guidance submarket also includes unified information access tools and systems that combine text analytics, clustering, categorization, and search into a comprehensive & Introduction information access system. Search Systems also enables a smart and simple way to mine and explore all your unstructured data with powerful text analytics and machine learning capabilities. Interactive Diagram With next-generation Search & AI-driven analytics platform, users type questions into a search box like they would with Google or Bing and instantly get precise Analytic Data Management answers. & Integration Platforms
KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME BI & Analytics Tools and Platforms • Task-Based Search & Discovery IBM: Watson Discovery, Watson Smart Logic: Semaphore • Unified Information Access Assistant Expert Systems: Cogito Discover Overview • Comprehensive Information Oracle: Secure Enterprise Search Northern Light: SinglePoint Microsoft: Microsoft Search Palantir: Gotham End-User Query, Reporting, & • Access-Combined Text Analysis, Analysis Tools Clustering, Categorization & Google: Google Earth Dassault Systèmes: EXALEAD Amazon: CloudSearch OpenText: Axcelerate, Perceptiv, Decisiv Search Advanced & Predictive Hitachi: Waterline/Hitachi Content Lucidworks: Fusion Analytics Tools • Search & Conversational Intelligence Elastic: Elasticsearch Analytics Sinequa: Insight Platform Content Analytics Tools Coveo: Intelligent Search Search Systems Attivio Spatial & Location Analysis Tools
AI Software Platforms
Performance Management & Analytics Applications
Analytics in Industries
Appendix
Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of Spatial & Location Analysis Tools Contents
Spatial and location analytics is a segment of the broader spatial information management (SIM) software (also called geographic information system [GIS]) and Purpose, Guidance includes the analytic tools associated with SIM software for data entry/conversion (surveying/COGO, aerial photo rectification, remote sensing, GPS, and others), & Introduction mapping/spatial query, and business analysis. Interactive Location or geographical information system (GIS) tools enable spatial experts to collect, store, analyze and visualize data. Location intelligence experts can use a Diagram variety of spatial and business analytical tools to measure optimal locations for operating a business or providing a service. Analytic Data Management & Integration Platforms
KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME BI & Analytics Tools and Platforms • Spatial Information Alteryx: Location Intelligence Esri: ArcInfo Management (SIM) Autodesk: Map 3D Hexagon: Smart M.Apps Overview Oracle: Spatial and Graph Pitney Bowes: MapInfo • Geographic Information End-User Query, Reporting, & System (GIS) Microsoft: MS Bing Maps Mapbox Analysis Tools Google: Google Earth • Mapping/Spatial Query IBM: (many products) Advanced & Predictive Business Analysis Analytics Tools
Content Analytics Tools
Search Systems
Spatial & Location Analysis Tools
AI Software Platforms
Performance Management & Analytics Applications
Analytics in Industries
Appendix
Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of AI Software Platforms Contents
Artificial intelligence (AI) software platforms provide the tools and technologies to analyze, organize, access, and provide advisory services based on a range of Purpose, Guidance structured and unstructured information. These platforms facilitate the development of intelligent, advisory, and cognitive enabled applications. The technology & Introduction components of AI software platforms include text analytics, rich media analytics (such as audio, video, and image), tagging, searching, machine learning, categorization, clustering, hypothesis generation, question answering, visualization, filtering, alerting, and navigation. Interactive Diagram These platforms typically include knowledge representation tools such as knowledge graphs, triple stores, or other types of NoSQL data stores. These platforms also Analytic Data Management provide for knowledge curation and continuous automatic learning based on tracking past experiences. & Integration Platforms
When these individual technology components are sold standalone, they are accounted for in other segments of IDC's BDA taxonomy, such as content analytics BI & Analytics Tools tools, advanced and predictive analytics, and nonrelational data stores. and Platforms
Note: As disruptive as visual-based data discovery has been to traditional BI, a third wave of disruption has emerged in the form of augmented analytics, with machine Overview learning (ML) generating insights on increasingly vast amounts of data. Augmented analytics also includes natural language processing (NLP) as a way of querying data and of End-User Query, Reporting, & generating narratives to explain drivers and graphics. Vendors that have augmented analytics as a differentiator are better able to command premium prices for their products Analysis Tools
Advanced & Predictive Analytics Tools
KEY PRODUCTS TECH DATA VENDORS PRODUCT NAME OTHER VENDORS PRODUCT NAME Content Analytics Tools
• Intelligent, Advisory, and IBM: Cloud Pak for Data Tensor Flow: Machine Learning Search Systems Cognitively Enabled Apps Microsoft: Cognitive Services, Azure Infosys Nia: Machine Learning Chatbot Spatial & Location Analysis Tools • Machine Learning Machine Learning Studio IPSoft: Amelia Categorization Google: Cloud Machine Learning AI Software Platforms • Knowledge Curation Platform, AI Platform Oracle: Data Science Cloud Service • Continuous Automatic Amazon: SageMaker, AWS AI Servies Performance Management Learning Hitachi: Pentaho Machine Learning & Analytics Applications w/ML Orchestration Alteryx: Machine Learning Analytics in Industries Automation Anywhere: RPA IQ BOT
Appendix
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Purpose, Guidance Performance Management & Analytics Applications & Introduction Interactive This software represents prepackaged analytic applications. IDC defines these applications as Diagram software that must meet each of the following three conditions: Analytic Data Management • Commercial application software that structures and automates a group of tasks pertaining & Integration Platforms to the review and optimization of business operations or the discovery and development of BI & Analytics Tools new business and Platforms
• Can function independently of an organization's core transactional applications, yet can be Performance Management dependent on such applications for data and may send results back to these applications & Analytics Applications
• Extracts, transforms, and integrates data from multiple sources (internal or external to the Overview business) supporting a time-based dimension for analysis of past and future trends or Solutions & Products accesses such a data store
Analytics in Industries Solutions & Products Appendix
To learn more. visit: https://recon.techdata.com/spitool/ Table of Solutions & Products Contents
CATEGORIES KEY PRODUCTS TECH DATA VENDORS OTHER VENDORS Purpose, Guidance & Introduction Customer • Customer-Facing Decision-Making Business Processes • Oracle: CRM, Sales Cloud (SMB), Netsuite CRM • SAP: CRM • SAS • Amdocs Relationship • Decision Automation • Microsoft: Dynamics 365 • Salesforce.com • Verint • Sage CRM Interactive Analytics • Adobe • Pega CRM • SugarCRM Diagram
• • • • Inventory Management IBM: Sterling B2B, Maximo, Tririga, Watson Infor: Supply Chain IQMS: Manufacturing ERP Analytic Data Management • Product Supply Chain-Specific Business Process IoT Platform Management • Shoptech: Industrial Software • Material & Capacity Requirements Planning (MRP) • Oracle: Supply Chain Analytics • IFS: Supply Chain • JDA: Enterprise Supply Chain & Integration Platforms Supply Chain & • Bill of Material (BOM) • Hitachi: Lumada Maintenance Insights, Management Planning Product/Asset-Centric • Work Order Generation & Reporting Lumada Manufacturing Insights • Manhattan Associates: BI & Analytics Tools Analysis • Shop Floor Control Manhattan Active Supply Chain and Platforms • Quality Control • Manufacturing Execution System (MES) Performance Management & Analytics Applications • Decision Making & Analytics • Hitachi: Lumada Suite • Hubspot • FICO: Debt Management • Claim Processes (Insurance) • Automation Anywhere: RPA for HC Claims • Apto • McKesson: ClaimsXten Services • Admission/Discharge & Transfer (Patients) • Micro Focus: Vertica • Fusion: CTRM/ETRM • Cerner: Mellinnium Overview Operations • Student Retention & Recruitment (Higher Education) • Blue: Experience Analytics • Energy Trading Management Platform Solutions & Products • Decision Support for Real Estate, Legal Services, Banking, Government, Social Services, and Transportation Analytics in Industries • Human Capital Management • Oracle: Human Resource Analytics • SAP: Success Factor • PeopleFluent Workforce • Employee’s Corporate Relationship/HR • IBM: Kenexa • Kronos: Kronos Workforce • SumTotal: SumTotal Workforce Analytics • Contingent Labor, Contractors, & Consultants Management Management Appendix • Supplier & Customer Employee HR • Ultimate Software: Ultipro • Workday: HCM Reporting & Analytics
• Budget, Planning & Forecasting • IBM: Planning Analytics • SAP: Analytics Cloud • Prophix • Internal Financial Policies Management • Oracle: Enterprise Planning & Budget Cloud Service, • Host Analytics • Workiva Enterprise • External Financial Reporting Compliance Hyperion Financial Close Suite • Workday: Adaptive Insights • Tradmark Performance • Financial Risk Assessment & Analysis • BOARD International • Anaplan Management • Profitability Measurement & Reporting • Tagetik • Axiom • Risk & Financial Management • Insightsoftware: Hubble • Risk Adjusted Performance Management
• Collaborative Forecast Automation • IBM: Sterling Order Management SAP: Supply Chain Planning and Collaboration • Manufacturing Process Optimization • Oracle: Advanced Planning Command Center, Aspen Technology: Aspen Collaborative Demand Manager & Supply Chain Production • Supply Planning Advanced Supply Chain Planning, Collaborative Planner Planning • Demand Planning Planning & Demand Management Advanced: Planning Command Center, Advanced Supply Chain Planning, • Production Planning Collaborative Planning & Demand Management • Demand Expectation • Multi-site Spanning Further explore Tech Data’s analytics solutions, products, and vendors with our interactive SPI Tool: recon.techdata.com/spitool Table of Contents
Purpose, Guidance Analytics in Industries & Introduction Interactive Analytics, AI and machine learning technologies are being used across vertical industries to help Diagram drive more intelligent business decisions. Vertical industry leaders today leverage analytics and machine learning across many areas of business, from facilitating customer service interactions to Analytic Data Management managing logistics to analyzing medical records. & Integration Platforms
BI & Analytics Tools Data and analytics are already shaking up multiple vertical industries, and the effects will only and Platforms become more pronounced as adoption reaches critical mass. An even bigger wave of change is looming on the horizon as deep learning reaches maturity, giving machines unprecedented Performance Management capabilities to think, problem-solve, and understand language. Industry organizations that are & Analytics Applications able to harness these capabilities effectively will be able to create significant value and differentiate themselves, while others will find themselves increasingly at a disadvantage. Analytics in Industries
Overview
Healthcare Healthcare
Manufacturing
Manufacturing Retail
Public Sector/Smart Cities Retail Appendix
Public Sector/Smart Cities
To learn more. visit: https://recon.techdata.com/spitool/ Table of Healthcare Analytics Contents
Industry context Purpose, Guidance • By 2020, the volume of healthcare data will likely reach 2,314 exabytes (Dell EMC and International Data Corporation (IDC) report) & Introduction • The North American healthcare analytics market is forecast to reach $11.4 billion by 2023, up from $3.13 billion in 2018 (Market Data Forecast) Interactive Diagram
Analytic Data Management Key analytics use cases & Integration Platforms
BI & Analytics Tools Use case Explanation Key technology categories and Platforms Predict outcomes • Healthcare professionals can use predictive analytics to analyze patient data, which can Business Intelligence & Analytics Tools & Platforms Performance Management based on historical • Advanced & Predictive Analytics Tools help doctors forecast the possibility of illness and help with early diagnosis. Predictive & Analytics Applications data measures like this can reduce hospital re-admissions, lower healthcare costs, identify • Analytic Data Management high-risk patients, reduce hospital wait times and promote healthy initiatives. • Content Analytics • Search Systems Analytics in Industries • AI Software Platforms Track pandemic • Organizations are using big data analytics to track COVID-19 spread and monitor patient Analytic Data Management and Integration Tools Overview patterns to inform • Analytic Data Integration & Integrity Tools outcomes in different regions across the US. With the COVID-19 pandemic impacting US Healthcare decision-making communities in different ways, research and provider institutions have increasingly turned • Analytics Data Management to analytic data management and integration tools to track and monitor the virus’s • Continuous Analytics Manufacturing • Streaming Integration spread and its effect on patient outcomes. Retail • The COVID-19 pandemic is perhaps the most notable example of organizations leveraging Business Intelligence & Analytics Tools & Platforms business intelligence and analytics tools and platforms to inform decision-making. Public Sector/Smart Cities • End-User Query, Reporting & Analytics Tools Researchers have also utilized BI and analytics tools to forecast possible constraints on • Spatial & Location Analysis Tools hospital capacity and resources. A team from Cedars-Sinai recently developed a machine Appendix learning model that can predict data points related to the COVID-19 pandemic and predict staffing needs. Personalize care • Big data can be used to tailor care to a specific patient based on their personal data Business Intelligence & Analytics Tools & Platforms (demographics, health history, etc.). On-demand analytics tools and platforms allow for • Advanced Predictive Analytics real-time modification of workflows and care delivery. This predictive approach is driving • End-User Query, Reporting & Analytics Tools the creation of a more consumer-centric health system. Table of Manufacturing Analytics Contents
Industry context Purpose, Guidance • The global manufacturing analytics market was valued at $5.9 billion in 2018, and is projected to reach $28.4 billion by 2026, growing at a CAGR of & Introduction 16.5% from 2019 to 2026 (Allied Market Research) • Supply chain optimization held the majority of the global manufacturing analytics market share in 2018 and is estimated to maintain the highest share Interactive in terms of revenue by 2026 (Market Business Insider) Diagram • A recent survey of manufacturing and supply-chain professionals found that 93% plan to focus on resilience of their supply chain, and 90% plan to Analytic Data Management invest in talent for digitization (McKinsey). & Integration Platforms
Key analytics use cases BI & Analytics Tools and Platforms Use case Explanation Key technology categories Performance Management Identify issues • Using artificial intelligence (AI) and machine learning (ML), companies can better Business Intelligence & Analytics Tools & Platforms & Analytics Applications across the entire model and predict demand, match supply to demand, automate ordering, allocate • Predictive Modeling & Model Management supply chain inventory with the right margin-optimization cost function, and fine tune their inventory • End-User Query, Reporting & Analytics Tools Analytics in Industries in almost real-time to reduce shortages. • Advanced & Predictive Analytics Tools • Content Analytic Tools • Robotic Process Automation (RPA) Overview
Data-driven • There is an enormous amount of data generated in the manufacturing industry, Analytic Data Integration & Integrity Tools Healthcare decision-making including raw material supply, manufacturing output, product distribution, logistics and • Extract Transform Load (ETL) customer support. This data can be integrated, managed, and analyzed to extract • Streaming Integration / Edge Analytics Manufacturing valuable information for a wide range of purposes. For example: • Analytic Data Management / Data Lake Retail • Improving factory operations and production • Continuous Automatic Learning/ML • Predicting when machines will need maintenance to reduce downtime • Predictive Modeling / Model Management Public Sector/Smart Cities • Improving product quality • Production Reporting Tools • Improving customer experience Appendix Video analytics for • A type of AI called computer vision can analyze live video feeds to detect when workers Business Intelligence & Analytics Tools & Platforms worker safety are in a potentially dangerous situation. Workplace safety is important not only for • Image & Video Analytics Tools ensuring the health and wellness of employees, but also because on-the-job injuries and • Analytic Data Management / Data Lake accidents can be very expensive to deal with and reduces overall productivity. • Streaming Integration / Analytics • Data Visualization Table of Retail Analytics Contents
Industry context Purpose, Guidance • The retail analytics market was valued at USD 5.29 billion in 2019 and is expected to reach USD 15.03 billion by 2025, at a CAGR of 19% over the forecast & Introduction period 2020 - 2025 (Mordor Intelligence) • The COVID pandemic has led consumers to purchase more retail goods online , even after store “re-openings” (PYMNTS) Interactive Diagram • The cloud segment held over 35% retail analytics market share in 2019 and is slated to exhibit a growth of around 30% between 2020 and 2026. (PR Newswire) Analytic Data Management & Integration Platforms Key analytics use cases BI & Analytics Tools and Platforms Use case Explanation Key technology categories In-store analytics • IoT analytics solutions can be used to process data from sensors, trackers, cameras and Analytics Data Management & Integration Platforms Performance Management other IoT devices in brick-and-mortar stores. These store analytics provide insights on • Extract Load & Transform (ELT) & Analytics Applications peak traffic times, most popular areas within the store, and more. • Streaming Integration / Analytics Business Intelligence & Analytics Tools & Platforms Analytics in Industries • Image & Video Analytics Tools • Analytic Data Management / Data Lake • End-User Query, Reporting & Analytics Tools Overview Personalized • Customer relationship analytic applications generate product recommendations Performance Management & Analytics Applications Healthcare shopping tailored to a specific customer based on their purchase history, preferences, and • Customer Relationship Analytics Manufacturing experiences context. • Search Systems / Text-based Search & Discovery • Search systems provide a smart and simple way to mine and explore unstructured • Continuous Automatic Learning / ML Retail consumer data with powerful text analytics and machine learning capabilities. • Dashboard / Data Visualization Public Sector/Smart Cities
Supply chain • Supply chain and product/asset-centric analytic applications provide insights based on Supply Chain & Product / Asset-Centric Analytics analytics data about inventory levels, supply chain movement, consumer demand, sales and • Artificial intelligence (AI) and performance Appendix more. management and analytics applications • Advanced & Predictive Analytics Tools Table of Public Sector/Smart Cities Analytics Contents
Industry context Purpose, Guidance • A “smart city” is an urban area that uses emerging technologies such as Internet of Things (IoT), Artificial Intelligence (AI), big data, cloud storage & Introduction technology, and data analytics to collect and analyze utilization data and use insights gained from them to manage assets, resources, and services efficiently. Interactive Diagram • The global Smart Cities Market is expected to grow at a CAGR of 22.9% from 2019 to reach $545.7 billion by 2027 (Meticulous Research). • Government IT spending in North America will be the largest globally, reaching $191 billion in 2020 (Gartner) Analytic Data Management & Integration Platforms Key analytics use cases BI & Analytics Tools and Platforms Use case Explanation Key technology categories
Limiting the spread • Experts have found uses for business intelligence and analytics tools and platforms for Business Intelligence & Analytics Tools & Platforms Performance Management & Analytics Applications of COVID-19 various purposes, such as contact tracing. • Data Visualization • Video analytics are being used to measure pedestrian traffic and evaluate how • Spatial and Location Analytics Tools populations are complying with social distancing and mask-wearing • Geographical Information System (GIS) Tools Analytics in Industries • Mapping / Spatial Query
• Artificial intelligence and machine learning models allow researchers to virtually test Overview Artificial Intelligence Software Platform potential vaccines and predict which therapies might work best across populations. The • Content Analytics Tools coming together of artificial Intelligence and data analytics platforms has improved the Healthcare • Text & Rich Media Analytics Tools ability to dig through years of data to identify possible drugs already approved by the • Machine Learning & Categorization Manufacturing FDA for treating similar viruses • NoSQL Database / Data Lake Retail • Advanced Predictive Analytics Public Sector/Smart Cities Maintain and • Analytics, BI, IoT, and AI-driven technology can be used to help maintain healthy Business Intelligence & Analytics Tools & Platforms enhance a healthy environment, advance public transport, and safety. Smart city projects can utilize AI for • AI Software Platforms environment various applications: • Advanced & Predictive Analytics Tools Appendix • Waste management • Artificial Intelligence Software Platforms • Traffic management and efficient public transportation • Natural Language Processing • Energy-efficient buildings • Streaming Data • Data Visualization • Public surveillance • Disaster response & emergency management • E-governance Table of Tech Data Solutions and Services Contents
Purpose, Guidance See the table below for a list of key Tech Data analytics solutions and services and how they relate to the primary segments in this document. & Introduction
Interactive Diagram Key Analytics Streaming Data Data Warehouse & Data Lake Data Integration & Data Management BI, AI, & Predictive Analytics Categories Analytic Data Management & Integration Platforms Product Continuous Analytics Tools • Analytic Data Management • Big Data Integration • Search Systems Components • Database Systems • Traditional Data Integration • Advanced and Predictive Analytics • Data Management Tools BI & Analytics Tools • Content Analytics Tools and Platforms • Spatial & Location Analysis Tools • AI Software Platforms Performance Management • End-Use Query, Reporting & Analysis & Analytics Applications Tools Key Tech Data • Streaming integration • Relational Data Management System • Extract Transform & Load (ETL) • Data Mining and Statistical Software Analytics in Industries Solutions • Streaming analytics (RDBMS) • Data Access Infrastructure • Dashboards and Data Visualization • Edge Analytics SW • Relational Data Warehouse • Master Data Management • Production Reporting and Tools • Continuous Automatic Learning • Nonrelational Analytics Data Stores • Metadata Management • Model Management and Predictive Appendix • Dynamic Data Management Systems • Data Preparation Software Modeling Software • NoSQL database/Data Lake • Data Quality Software • Image and Video Analytics • Data Governance • Continuous Automatic Learning/ML Tech Data Solutions and Services • Decision Automation Software • Robotic Process Automation (RPA) Definitions Tech Data • Assessments and consultations • Assessments and consultations • Assessments and consultations Learn more Services • Solution scalability and scope • Solution scalability and scope • Solution scalability and scope • Database development • Data strategy modeling • Report and dashboard development • Data strategy modeling • ETL and data integration • Health check • Data Lake implementation • Data migration • RPA ROI analysis and POC • ETL and data integration • Data blending and prep • Data migration • Data Privacy
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Relational Data Warehouses Purpose, Guidance Relational data warehouse software market includes (RDBMS) relational database management system software used to manage and process data in support of ad hoc & Introduction queries and report generation. This software market includes both multidomain enterprise data warehouses and single-domain data marts. A relational database is designed for query and analysis rather than for transaction processing. A relational database data warehouse environment includes an extraction, transportation, Interactive Diagram transformation, and loading (ETL) solution, an online analytical processing (OLAP) engine, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users. Analytic Data Management & Integration Platforms Nonrelational Analytics Data Stores The nonrelational analytic data stores market segment is primarily derived from the dynamic data management systems. What makes dynamic database systems BI & Analytics Tools “dynamic” is they they have no schema and depend on program code to define their content. They are used in cases where the data may not be well defined at the time of and Platforms ingestion or where the application data requirements change so frequently slowing down the development process. Sometimes called NoSQL database systems because Performance Management they do not require the use of SQL, dynamic DBMSs. NoSQL refers to data stores that do not use SQL for queries, and instead use other programming languages and & Analytics Applications constructs to query the data. Dynamic data management systems that are deployed as nonrelational analytic data stores include: document-oriented database systems, key accessible database systems, graph database management systems and scalable data collection managers. Analytics in Industries Note: Data lakes and data warehouses are both widely used for storing big data, but they are not interchangeable terms. A data lake is a vast pool of raw data, the purpose for which is not yet defined. A data warehouse is a repository for structured, filtered data that has already been processed for a specific purpose. These two types of data storage are Appendix often confused and are much more different than they are alike. In fact, the only real similarity between them is their high-level purpose of storing data.
Tech Data Solutions and Services Message Broker Software that enables applications, systems, and services to communicate with each other and exchange information (e.g., Azure IoT Hub, AWS Kinesis) Definitions
Learn more Data Virtualization Integrates data from disparate sources without copying or moving the data, thus giving users a single virtual layer that spans multiple applications, formats, and physical locations. This means faster, easier access to data. (e.g., Red Hat JBoss Data Virtualization)
Data Containers Allow multiple application containers to access the same data. These application containers can be created, moved, or destroyed without affecting the original data (e.g., Docker, Kubernetes, etc.)
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Streaming Data/In Motion Purpose, Guidance Data that is continuously generated by different sources. (IoT sensors, log files, video) & Introduction
Edge Compute/Edge AI Interactive Diagram The computational processing of sensor data away from the centralized nodes and close to the logical edge of the network. Edge AI means that AI algorithms are processed locally on an edge device (autonomous vehicles, smart speakers) Analytic Data Management & Integration Platforms Continuous Analytics In-motion technology that continuously receives and transforms data in real-time and in micro batches. It is software made up of two primary segments: streaming BI & Analytics Tools integration and streaming analytics. and Platforms
Performance Management Streaming Analytics & Analytics Applications The ability to constantly calculate statistical analytics while moving within the stream of data. Streaming Analytics allows management, monitoring, and real-time analytics of live streaming data and typically runs in a container on some type of IoT Edge or IoT Gateway device. Analytics in Industries Streaming Analytics on IoT Edge empowers developers to deploy near-real-time analytical intelligence closer to IoT devices so that they can unlock the full value of device- generated data. Streaming Analytics is designed for low latency, resiliency, efficient use of bandwidth, and compliance. Enterprises can now deploy control logic close to Appendix the company’s operations and complement Big Data analytics done in the cloud.
Tech Data Solutions and Services Edge Analytics Analyze sensor data in near real-time, and issue commands when anomalies are detected to stop a machine or trigger alerts. Definitions
Learn more Sensors, smart technology, and other connected devices would not be effective if their entire data analysis process involved sending back information to a central location/cloud and waiting for it to be processed and returned.
Streaming Integration Is the collection and normalization of data in motion, and continuously moving any enterprise data with real high throughput in a scalable fashion, while at the same time processing, correlating, and analyzing it in-memory in order to gain real value and visibility out of that data.
The output of streaming integration processing may flow into streaming analytics software, an at-rest data warehouse or data lake to continuously analyze data on an event-driven basis to automate detecting and predicting conditions that require further action.
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Document Oriented Database Purpose, Guidance A specific kind of database that works on the principle of dealing with 'documents’ rather than strictly defined tables of information. The document-oriented database & Introduction plays an important role of aggregating data from documents and getting them into a searchable, organized form Interactive Diagram Graph Database A specialized, single-purpose platform for creating and manipulating graphs. Graphs contain nodes, edges, and properties, all of which are used to represent and store data Analytic Data Management in a way that relational databases are not equipped to do. Graph analytics is another commonly used term, and it refers specifically to the process of analyzing data in a & Integration Platforms graph format using data points as nodes and relationships as edges. Graph analytics requires a database that can support graph formats BI & Analytics Tools Key Accessible Database and Platforms The use of keys for a field, or combination of fields, in a database table used to retrieve and sort rows in the table based on certain requirements. Keys are defined to speed Performance Management up access to data and, in many cases, to create links between different tables & Analytics Applications
Scalable Data Collection Managers These are essentially a huge collection of all the data your company collects about its customers, operations, transactions and more. Think of all of your company’s data Analytics in Industries sources as individual pools of data. You need to hop around to each pool to find the fish you seek. A data lake acts as a scalable data collection manager which will have information flow into it from all of these pools so you can find your fish from one place and find patterns and trends among all the fish. Appendix
Tech Data Solutions and Services
Definitions
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Purpose, Guidance & Introduction
Interactive Diagram
Analytic Data Management ON THE WEB CONTACT US DIVE DEEPER & Integration Platforms BI & Analytics Tools and Platforms
Performance Management & Analytics Applications
Analytics in Industries
Appendix
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