Pg. ©2019 Alliance Data Speaker Biography

• Brock Dietrich has been at Alliance Data for 19 years, with his first 10 years in the Credit Risk Analytics organization before moving into a variety of Information Technology roles. This unique background has allowed him to synthesis business needs with technical capabilities to deliver trusted solutions for the organization.

• Renee Fronk has been at Alliance Data for ten years as an IT Technical application manager. She supports MicroStrategy, SAS, BI, and Tableau. She has a total of 14 years of experience using MicroStrategy across three different companies beginning with MicroStrategy 7.

Pg. 2 ©2019 Alliance Data Who is Alliance Data?

Marketing and loyalty experts.

As providers of branded credit cards for top companies, it’s easy to assume we’re simply a bank – but the truth is, we’re so much more than that. Focused on growing our partners’ sales (rather than building our own portfolio), our team of experts is on the cutting edge of marketing, loyalty and data-driven insights – making us relationship builders who drive results and create connections. That’s deliberately different, and that’s exactly who we are.

Pg. 3 ©2019 Alliance Data Agenda

• Problem Statement • Scope • Committee Makeup • Interviews / Requirements • Numeric Ranking • Evaluation Scorecard / Vendor Demonstrations • Total Cost of Ownership • Proof of Concept / Final Selection

Pg. 4 ©2019 Alliance Data Problem Statement

• Excessive resources needed to support multiple tools - MicroStrategy - Tableau - SQL Server BI - - Business Objects • Inability to share insights across business units • Lack of governance and consistency of key metrics • Lack of training / best practices

Pg. 5 ©2019 Alliance Data Capability Scope

Pg. 6 ©2019 Alliance Data Vendor Scope

• Limited to 26 vendor platforms in the 2017 Gartner Magic Quadrant for and Analytics Platforms report

Pg. 7 ©2019 Alliance Data Committee Makeup

• Enterprise Data Governance council • 10 members • Created sub-committee to address problem • Nominated delegate from their business unit • Open committee • Total of 25 members, 10 delegates had voting rights

Pg. 8 ©2019 Alliance Data Interviews

Producers • Interviewed 130 subject matter experts • Probed for use cases, data sources, tools, and processes • Forward-looking topics, such as wish list items and features not yet available

Consumers • Focus groups consisting of approximately 50 managers and directors • Business decisions being made • Timeliness and trustworthiness of their data • Desired functionality

Pg. 9 ©2019 Alliance Data Requirements

• Ability to provide enterprise data models with agreed upon metric calculations (one version of the truth) • Ability for end users to ingest their own data and create content without IT involvement (data discovery) • Process for migrating user created data from a personal space to a shared community space, and eventually to a enterprise IT managed space • Governance and security paramount due to heavily regulated industry • Overarching theme from the interviews was a governed self-service solution was required

Pg. 10 ©2019 Alliance Data Example Use Case

• Credit applications are the lifeblood of our business • 150+ client relationships • Client relationship managers closely monitor approval rate metric • Receive email alert when approval rate outside 1 standard deviation of the mean • Ability to view historical trends on mobile device and drill into attributes to quickly identify cause of variance • Allows relationship manager to engage right resources to resolve potential issue

Pg. 11 ©2019 Alliance Data Critical Capabilities Aligned use cases to March 2017 Gartner Critical Capabilities for Business Intelligence and Analytics Platforms report.

• Admin, Security and Architecture • Data Source Connectivity • Cloud BI • Self-Contained ETL and Data Storage • Self-Service Data Preparation • Metadata Management • Embedded Advanced Analytics • Smart Data Discovery • Interactive Visual Exploration • Analytic Dashboards • Mobile Exploration and Authoring • Embed Analytic Content • Publish, Share and Collaborate • Platform and Workflow Integration • Ease of Use and Visual Appeal

Pg. 12 ©2019 Alliance Data Numeric Ranking

Pg. 13 ©2019 Alliance Data Critical Capabilities Weighting 8% Admin, Security and Architecture 15% Data Source Connectivity 1% Cloud BI 4% Self-Contained ETL and Data Storage 7% Self-Service Data Preparation 10% Metadata Management 4% Embedded Advanced Analytics 2% Smart Data Discovery 6% Interactive Visual Exploration 5% Analytic Dashboards 4% Mobile Exploration and Authoring 5% Embed Analytic Content 15% Publish, Share and Collaborate 4% Platform and Workflow Integration 10% Ease of Use and Visual Appeal

Pg. 14 ©2019 Alliance Data Elimination Process

Sub-committee considered numeric ranking and the following criteria: 1. Tools for which ADS has already made significant investments in BI asset development (MicroStrategy, Tableau, Microsoft, SAS, and Oracle) 2. New tools that were highly ranked in the Gartner MQ (Clear Story Data, TIBCO , Logi Analytics, Birst, Pyramid Analytics, and Information Builders) 3. Substantial enterprise platform market presence (Qlik)

We selected 6 finalist to conduct an in-person demonstration of their capabilities.

MicroStrategy ClearStory Data TIBCO Software Tableau Microsoft Qlik

Pg. 15 ©2019 Alliance Data Vendor Demo

• One hour to execute a standard demo script demonstrating steps from raw data ingestion to final output ✓ Connect to Northwind Database ✓ Create a sales report dashboard - KPI value with trend, Vertical bar chart, Global Map, Data Table ✓ Share report ✓ End user view report ✓ Schedule refresh/email distribution ✓ View on mobile device ✓ Answer a business question ✓ Ad-hoc question • Free form deep dive highlighting unique capabilities of their platform • Non-functional requirements, licensing and user models, training, support, administration, and infrastructure

Pg. 16 ©2019 Alliance Data Demo Scorecard

• During the demonstration, every sub-committee member completed a scorecard for each vendor (1-10) on the below summary categories • Detailed interview use case requirements, aligned to critical capabilities, collapsed into 8 summary categories

Pg. 17 ©2019 Alliance Data Final Vendor Scorecard

• Following the vendor demonstration, the group met to agree upon a final score in each category for the vendor, delegates voted on score

• Based on the clustering of scorecard results, the sub-committee narrowed down the list to 3 vendors, MicroStrategy, Qlik, and Tibco

Pg. 18 ©2019 Alliance Data 5 year TCO Entered into detailed pricing negotiations with the 3 vendors to calculate a 5 year TCO.

Overall score weighted 60% functionality score and 40% cost score.

Pg. 19 ©2019 Alliance Data Scoring Results

• Matrixed Functionality scorecard and 5 Year TCO • Selected Qlik to conduct a POC, hands-on in our environment with our data

Pg. 20 ©2019 Alliance Data Proof of Concept Approach

• Install vendor software in our environment • Document test cases • Vendor conduct training with users • Connect vendor solution to required data sources • Business users execute test cases • Show stopper failures determined if additional POC necessary

Pg. 21 ©2019 Alliance Data Example Test Case

Scorecard Reporting Category Scorecard Item Schedule with data event triggers

Use Case Schedule/distribute daily field reporting

Functionality Ability to send internal and external email subscriptions Requirement and export to Excel/PDF Criticality Critical, Useful, Nice to Have Ease Easier, Same, More Difficult

Pg. 22 ©2019 Alliance Data Results

• Integration between Qlik Sense and N-Printing was insufficient to accomplish governed self-service requirement • Executed 2nd POC with MicroStrategy ➢ Governance through schema layer ➢ Dossier ➢ Collaboration ➢ Promote Dossier to Document ➢ Fine grained security controls allow for governance lifecycle (personal, community, enterprise) ➢ Mobile capabilities including white label, responsive design, embedding

Pg. 23 ©2019 Alliance Data Final Recommendation MicroStrategy was selected due to it’s ability to accomplish all of our POC test cases, and provided an effective platform to implement a governed self-service model. Technology Process People Infrastructure design Contract Roles and responsibilities Build Center of Excellence Change management

Software install and Communication plan User adoption configuration Metadata upgrade Define policies User groups

User security setup Training curriculum Training

Pg. 24 ©2019 Alliance Data Five key takeaways • Structured process (transparent, fair, leverage industry knowledge) • Include all stakeholders (especially vocal critics) • Interview the business (clearly defined requirements, scorecard) • Define scripted vendor demonstration (compare/contrast build effort, consumption experience) • Conduct POCs in your environment (real business data and real use cases)

Pg. 25 ©2019 Alliance Data Questions?

Pg.Pg 26 ©2019 Alliance Data