Lower Analytic Costs
Lower migration and compute costs 20 to 30%
Reduce Business Risk
Increase analytic accuracy and reliability by removing duplication and inconsistency within your code assets.
Support advanced analytics, machine learning, or other initiatives by measuring how deep, wide, and accurate your analytic attributes and features are across your data.
ANALYTIC ASSESSMENT CUSTOMER
Start by assessing the analytics that you already have, and make those consistent and drive those into the organization.CAO - Major International Bank
Analysis of Text-Based Code Assets
Data Set Preparation
Analysis of Data Sets
Solving for Lack of Transparency
Major Grocery Retailer
Because a major grocery retailer's data was siloed in 28 separate divisions—with 1000+ unmanaged and inconsistent customer attributes—they lacked a unified, cross-brand, cross-channel view of opportunities and their data analyst struggled to find and reuse analytics. After the Rapid Analytic Assessment, the retailer formulated a new approach to analytics, reducing the time to launch a typical marketing campaign from 3+ days to 4 hours.
Solving for Redundancy and Inefficiency
Major International Bank
A major international bank's data scientist frequently wrote the same SQL statements over and over for each new analysis or task across different analytic groups. For example, their client master table, produced with hand-written SQL, took 5+ hours to configure and execute each month. Manually recoding over and over and over again, created redundancy and inefficiency. Using insights uncovered during the Rapid Analytic Assessment, they established a system for reusing their analytics, reducing the run-time for the client master table from 5 hours to 7 minutes.
Solving for Inconsistency
Leading Make-up Retailer
A lead make-up retailer found there were over 160 different definitions for sales in their system. With every inconsistent analytic conclusion, an enterprise erodes trust and squanders resources. The constant rewriting of analytics introduced serious business risk of inconsistency and inaccuracy. The Rapid Analytic Assessment led to the creation of an analytics governance program, which clarified their definitions down to three and increased the accuracy of a key prediction from 50% to 83%.
A Solution Born Out of Experience
- Migrating platforms. Start with a clean slate—mitigate the risk of migration and ensure you're only moving what needs to be moved.
- Not getting optimal output from your analytics team. This isn't a people problem—it's a productivity problem—and the assessment will uncover how much time is being wasted on redundant activity.
- Creating a strategic roadmap. The assessment gives you a picture of what's really going on with your analytics—earn some quick wins by improving consistency and productivity without additional investments.
- Concerned about regulatory issues. Consistency and traceability offer safety, and the assessment will point out where you may be facing risk.