HCL’s Analytics Services: Intelligence of the future, today

HCL’s analytics practice combines the power of statistics, computer science, and visual analytics to provide best-in-class decision intelligence through a unified understanding of businesses, consumers, and the markets in which they operate. We work with clients to capture, transform, and analyze front-end and back-end datasets to reach business breakthroughs; seamlessly delivered through loosely coupled platform integration.

We bring decades of deep problem-solving expertise with a world-class team of PhDs in math and statistics to solve the problems our clients bring from every industry. Insightful, creative, and accountable solutions are at the core of everything we do. We believe that collaboration is the key to driving those solutions and ultimately our clients’ success. 1 Featured Solutions

HCL’s Last Mile Solution: With Alteryx and Snowflake, HCL can build and perform automated analytics on a hosted analytics database faster than ever before.

The solution brings the power of advanced analytics in hands of business users. It allows users to access additional data sources and provides agility to extend analysis and insight in new directions.

Figure 1: HCL’s Last Mile Solution

HCL’s Demand Forecasting Solution: HCL’s Demand Forecasting approach on Alteryx uses data from various sources to ensure the right products are available in the right store at the right time. Using machine learning (ML) to improve forecast accuracy has a significant impact on how companies optimize the supply chain.

Figure 2: HCL’s Demand Forecasting Solution 2

HCL’s Smart RPA Solution: With Alteryx and UIPath, HCL enables organizations to achieve end-to-end connectivity and alignment across departments in a way not possible before. Data can be extracted from various point solutions and delivered to predictive, machine learning, natural language processing (NLP), and other advanced models to inform on risk, inventory, and customer sentiment.

ROBOTIC + ANALYTIC PROCESS AUTOMATION UNLOCKING & ACCELERATING BUSINESS VALUE APA AUTOMATING ANALYTIC PROCESSES & OUTCOMES

RPA AUTOMATING alteryx RPA AUTOMATING HIGH VOLUME TASKS OUTPUT TASKS DATA QUALITY + DATA ENRICHMENT DATA SCIENCE Bots collect data from PREPARATION + INSIGHTS + DECISIONS non-API sources Alteryx Automatically Triggers a Bot example. Green Screen, All sources, 80+ inputs, all Geospatial Analytics Code-free Data Science Site Scraping, data types (Mapbox/TomTom) Unstructured Docs Predictive Auto ML + Drag-n-Drop Cleansing + OCR + NLP Feature Engineering Alteryx publishes to Blending RPA and writes data out Inline Descriptive Analytics Code-Free Predictive + Validate & Cross- to systems without a Interactive Exploration Prescriptive Analytics reference connector e.g., inputting +Visual Profiling Consumer + Business Insights Model Ops + data from an analytics (D&B, Experian) outcome into SAP such Inline Calculations + Governance as ‘predictive inventory’ Bots Trigger an Transformations Automatic Alteryx Workflow

High Volume What is What should What will High Volume Repeatable Tasks happening? happen? happen? Repeatable Tasks

Figure 3: HCL’s Smart RPA Solution Our Services

We take a science-based approach in order to come up with eective solutions for our clients through advanced analytics and AI applications. Our work falls into four core services:

Data Science: Applying automated Advanced Analytics: Applying quantitative, self-learning decision engines to qualitative, and behavioral methods to make answer business questions and solve complexity understandable and actionable complex problems

Visual Insights: Facilitating informed and Cloud & Big Data: Unifying omnichannel data rapid reaction to changes in behavior and and quantifying the value of user experiences predicting future behavior 3 HCL’s Analytics Maturity Matrix

1. IDENTIFYING USE CASES 2. LIMITED PRODUCTION 3. COMPETITIVE ADVANTAGE

• Defining business use cases • Working on creating eciencies • Large data science team • Focused on BI • Mapping ML to business value • ML built into product/service • Exploring tools • Planning growth & new use cases • Standardized on • Experimenting with languages • Testing various languages & tools tools/languages • Training and hiring • Training and Hiring • Advanced ML for video, audio, • Testing data pipelines • Optimizing data pipelines and images • Automated data pipelines DATA CHALLENGES DATA CHALLENGES DATA CHALLENGES • 15% data utilization • 70% data utilization + external • Understanding data • Data wrangling, ETL + data validation • 130% data utilization • Preparing data • Obtaining more data • Streaming data OVERALL CHALLENGES OVERALL CHALLENGES OVERALL CHALLENGES VALUE OF DATA VALUE • Acquiring talent • Training and Hiring • Designing & building consistent • Scalability of tools & team • Retaining talent processes & pipelines • Cost containment • Optimize, simulate, & test model • Defining business value • Creating ROI consistently ecacy • Staying ahead of competitors

Figure 4: HCL’s Analytics Maturity Matrix The HCL + Alteryx Partnership

In 2021, HCL became an Alteryx Elite Alliance Partner and is the only Global Systems Integrator (GSI) at this partnership level. With 40+ certified professionals and counting, HCL collaborates with Alteryx to enable the Global 2000 to succeed in their analytics automation and digital transformation journeys. The collaboration is underpinned by data science-driven process automation and orchestration across distributed hybrid and multi-cloud environments. Success Story: Deploying Self-Service Data Analytics for a Fortune 500 Tool and Hardware Manufacturer

Our client is a US-based company well known for its household hardware products and craftsman tools. The company was facing increasing diculties from its lack of data infrastructure. With no platform-based approach, the company had no single source of truth and struggled with distributed usage and performance issues across multiple data sources. Employees used an archaic, manual process to request data analytics and faced turnaround times of 4-12 weeks to get the data they needed. The lack of data governance and data democratization was hampering The Challenge: business agility, while impacting important operations like A Company in Need of regulatory reports. Data Democratization 4

We worked with the client to develop an enterprise strategy to consolidate tools and position Alteryx as an enterprise-wide platform. HCL identified Alteryx as the right solution for this client. With Alteryx, we could quickly help the client:

• Democratize data science • Develop their own use cases • Move into self-service data analytics The Solution: Making Alteryx the Enterprise-Wide Data Platform

To assist with streamlined and sticky user adoption, our approach included a data science sandbox for 300+ users to experiment and evangelize the Alteryx platform ahead of enterprise-wide deployment. We also partnered with Alteryx SMEs to develop data analytics use cases including ‘What If’ scenarios for on-time shipment and deliveries, margin resilience, and more across business units, to help the client derive faster ROI. The Approach: Infusing The deployment enabled a self-service platform that was Change Management fully governed and scalable, providing trusted and consistent data sources while removing the 4-12 week data and Data Science for analytics request cycle in favor of on-demand data. User Adoption

Practice Leadership

David Sogn, VP of Analytics, HCL Technologies David is a digital transformation thought leader and data scientist with a richly diverse set of experience. His analytics career has included developing and implementing analytical and AI models at two Fortune 100 companies, building and running business intelligence and data science departments from the ground up, and running the Global Analytics Division for IBM. David now heads the global Analytics practice at HCL across all industry verticals. In this role, David uses his experience in data science, data architecture, enterprise automation and human centered design to drive analytics excellence for Global 2000 clients. David received his Bachelors from Menlo College in Palo Alto and his Masters from Cambridge University in the UK. Contact David at [email protected]. HCL Technologies (HCL) empowers global enterprises with technology for the next decade today. HCL’s BE-105244703423-EN00GL Mode 1-2-3 strategy, through its deep-domain industry expertise, customer-centricity and entrepreneurial culture of ideapreneurship™ enables businesses to transform into next-gen enterprises.

HCL o ers its services and products through three lines of business - IT and Business Services (ITBS), Engineering and R&D Services (ERS), and Products & Platforms (P&P). ITBS enables global enterprises to transform their businesses through o erings in areas of Applications, Infrastructure, Digital Process Operations, and next generation digital transformation solutions. ERS o ers engineering services and solutions in all aspects of product development and platform engineering while under P&P. HCL provides modernized software products to global clients for their technology and industry specific requirements. Through its cutting-edge co-innovation labs, global delivery capabilities, and broad global network, HCL delivers holistic services in various industry verticals, categorized under Financial Services, Manufacturing, Technology & Services, Telecom & Media, Retail & CPG, Life Sciences, and Healthcare and Public Services.

As a leading global technology company, HCL takes pride in its diversity, social responsibility, sustainability, and education initiatives. As of 12 months ending on March 31, 2021, HCL has a consolidated revenue of US$ 10.17 billion and its 168,977 ideapreneurs operate out of 50 countries. For more information, visit www.hcltech.com www.hcltech.com