STRATEGY | CASE STUDY
Target Short List of Vendors for Enterprise Analytics
COMPANY OVERVIEW
Global asset manager with investment offices in major trading centers worldwide.
BUSINESS NEED
The company was struggling with how to unify its analytics approach, while remaining compliant with financial industry standards. With different departments gathering information in disparate ways, the existing model was not sustainable. It was imperative to identify common use cases, target a short list of vendors whose capabilities matched the use cases, and navigate the RFP and demo processes.
SOLUTION
Ironside was called in, and made it clear from the outset that system selection is about people, not just technology. The approach consisted of four steps:
Make Analytics Human
Narrow the Focus
Dig Deeper
Make the Choice
KEYS TO SUCCESS
The vendor selection process enabled the client to:
COMPANY OVERVIEW
Global retailer offering clothing, accessories, and personal care products. In business close to 40 years, with over 1,000 stores in North America and an online presence in more than 80 countries.
BUSINESS NEED
Outdated processes and siloed legacy solutions were hampering self-service analysis and fragmenting the company’s view of their data. IT leadership knew they were falling into technical debt and were trying to modernize and centralize. They needed an upgraded data and analytics ecosystem geared toward user experience and brought Ironside on as a partner.
SOLUTION
Ironside approached the engagement with one overarching principle in mind—namely, that a successful migration starts with targeted action. To that end, we worked with our client to:
Diagnose Issues & Maximize Resources
Create a Centralized Data Source
Modernize the BI Environment
Create New Assets & Enable Users
KEYS TO SUCCESS
These projects delivered many benefits to the client by enabling then to:
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DATA | CASE STUDY
Modernize the Data Warehouse for Finance IT
COMPANY OVERVIEW
Leading investment advisory firm with more than 10,000 employees and greater than $1 billion in revenue—a major player in the financial services industry.
BUSINESS NEED
The client’s IT group struggled to keep their governance and planning efforts moving at the pace of business. They’d attempted to centralize their data sources and generate more actionable reporting, but their outdated infrastructure couldn’t meet increased information demands or integrate effectively with their BI reporting. To solve these issues, the client was tasked with moving their data warehouse to a more modern solution.
SOLUTION
The Ironside Information Management team worked hand-in-hand with the client’s database engineers to move the warehousing infrastructure out of the current obsolete environment to a more modern data warehouse. Our solution required us to:
Develop a Migration Plan
Document and Test
Consolidate
Reengineer
KEYS TO SUCCESS
The modernizing of the data warehouse has enabled the client to:
STRATEGY | CASE STUDY
Create a Strategic Data & Analytics Roadmap for Customer Behavior
COMPANY OVERVIEW
After beginning as a small start-up, a multi-channel information company grew into an organization with more than 500 employees serving 10,000+ customers. It specializes in offering expert print and online business information that helps improve job performance.
BUSINESS NEED
The company was looking to transform itself by migrating to a more advanced digital warehouse. Such a move would enable the company to gain added insights into its customers’ behaviors, and then combine the insights with detailed customer information from the web, telemarketing, and email channels to enhance its marketing efforts.
SOLUTION
Ironside was brought in to assist. Our Analytics Advisory team used a proven methodology to define the client’s strategies, goals, and use cases—and to show the client how user tasks and corporate goals translate into analytic capabilities. The overall solution featured four parts:
Maturity Matrix
Use Case Development & Roadmapping
Snowplow Proof of Concept (POC)
Digital Transformation
KEYS TO SUCCESS
Through the Data & Analytics Roadmapping initiative, our client was able to: