Agenda Introduction Why are YOU here? Common Data Management Projects How to create a business plan for your data management project: –What? –Why? –End Goal? –What happens if.... ? Go Get the Money! 3
Why are YOU here? You are experiencing data management problems You are doing the work of 2, or 3, or 4 people You have high deliverables and no budget There is a lack of focus on data management and how this costs the company time, money, credibility, opportunities, compliance You lack of high level sponsorship, executives say: –If it ain’t broke, why fix it? –What will this do to meet specific goals of division? –It’s someone else’s problem –That’s the way we always did things 4
Common Data Management Projects Develop Data Governance policy Integrate siloed data sources Re-design data architecture to allow for ease of use, expansion and reduced costs Create data warehouse Assess data quality and create business rules for going forward Assess data management maturity Create a strategy for managing data Create a metadata management strategy 5
Solving - Data Quality and Data Migration DLA Business System Modernization Problem: –Needed to migrate data describing billions of line items procured for Armed Forces as part of Business Systems Modernization (BSM) Program. Solution – Saved 99 years of labor and over $5M by profiling data and not moving wasting time and money moving bad data: –Conducted a data quality assessment and data cleansing effort –Significantly improved the quality of data –Streamlined the data migration process –Created an approach for DLA to maintain the quality of their data and ensure that the procurement process would continue to deliver support to our American War Fighters.
12 - datablueprint.com Solving...Data Management Practices The World Bank Problem: –Corporate strategy to assess, document, and improve processes at all levels –Identified requirement to completely understand the organization's strengths, weaknesses, risks and opportunities –Wanted to evaluate the maturity of its data management practices Level of maturity internally Quality and risks associated with using external data management services. Solution – Data Blueprint: –Conducted comprehensive Data Management Practices Assessment Analyzed three major internal IT organizations Conducted comprehensive assessment of each organization with internal, external and industry comparisons in order to identify best practices and problem areas Provided high-level recommendations for improvement Results: –Eliminated the need for outside Data Steward consultation in 2 major divisions (Consultant costs can exceed $400K per year)
Solving…..Global Data Integration Problems Problem: –Silo-based systems & data sources required an army of operational staff to reconcile, monitor and report across the enterprise –Business decisions greatly hindered by the inability to paint an integrated view of products, transactions and clients –Desire to establish Deutsche Bank as a major global investment firm required the development of an integrated global trading platform Solution: –Re-architected data solutions for transaction processing, account and product master data and total transaction lifecycle management –Designed, developed and implemented large scale database and data transformation solutions Results –Operational costs reduced by millions of dollars –Deutsche Bank was able expand revenues by attracting a larger market share of Prime Brokerage clients and increasing products used by existing customers –Enabled the successful implementation of a global, service-oriented platform 14
Defining a measure of "Batteryness" Problem: –Identified opportunity to significantly increase revenue through add-on sales to web customers. Millions of dollars being spent with other retailers on batteries to power RadioShack purchases Solution: –Developed text-parsing to identify battery and other add-in products to be offered when customers purchase products Results: –Increased in sales of high margin add-on products by over $2M per year –Solution scaled to other products –"Would you like fries with that burger?"
Improve Total Life Cycle Management of Equipment Problem: –United States Marine Corps (USMC) Global Combat Support System (GCSS-MC) is working to improve the combat effectiveness of the operating forces and to support emerging doctrine and warfighting strategies and impacts on ship designs and acquisitions –Technical initiative to provide Data Profiling/C leansing/ Integration/ Governance effort –Need to better label and track equipment in order to positively impact warfighting efforts and to reduce data anomolies and errors Solution: –During initial short term engagement, successfully conducted data quality and profiling initiative on 6 data sources (see results on following page) Results –Identified approximately $5 billion of equipment does not tie out between the LUAF and RTLS –Approximately $531 million of SAC 3 items have duplicated serial numbers –Engaged to assist on a larger, more inclusive data profiling/ cleansing/ integrating project starting in March 19
Data Profiling Proof of Concept Purpose: (1) To identify and provide metrics on data quality issues for a subset of USMC supply chain data (2) To demonstrate the viability of commercial data profiling tools to quickly identify and measure possible data anomalies Project Overview Three week data profiling pilot project for USMC Center Of Business Excellence Profiled six data sources supporting the USMC supply process Rapidly analyze data and produce statistics about patterns, frequencies & other attributes about the data Use the statistics to identify potential data health issues and link them to business impact through collaboration with business data experts Business Value Highly cost-effective, repeatable process for identifying potential data health issues within the USMC Data quality remediation plans can be more easily prioritized and resourced using the metrics generated by our approach Potential cost and risk reductions realized by implementing needed data quality controls discovered during data profiling Potentially reduces the cost of system migrations because of the automated approach to understanding the data in the As-is system Data Profiling Process Set up profiling and database software in the USMC environment (3 days) Obtain source data (2 days) Load into Relational Database (1 day) Profile All Columns in All Tables (less than 1 hour) Analyze Profiling Results (9 days) –Use statistics to infer data and business rules –Verify hypotheses with functional users of the data Prepare and present findings to sponsors (2 days) 20
Go Get the Money... 1.Identify and schedule meeting with individual or team that has money spending authority 2.Start at the end, i.e. “the reason for this meeting is to show you how our company can: –Save XXX amount of money” –Increase profits by $XXX” –Increase sales by $XXX” –Reduce these specific compliance risks which costs our company $XXX per year” 3.Make sure that presentation is geared toward end users, do not give technical IT oriented briefing to business users 21
4. Focus on the benefits to your audience –“Will increase revenue for our department” –“Will help you to meet your strategic goals for the year” –“Will show executives that you are a team player” –“Will put our department in the limelight” –“Will generate ROI, thereby securing our standing as thought-leader within company” 5. Keep message succinct and organized, do not go “off-script” 6. Clearly outline costs, benefits, timelines and milestones 7. Ask for the money, then STOP talking 22