Client
Success Stories
Datalere has worked with clients of all sizes and in all industries and geographies.
Problem: Business unit and IT managers were frustrated by conflicting and overlapping reports, lack of alignment around business metrics, and the lack of data literacy among self-service users.
Solution: Datalere helped the corporate business intelligence (BI) team develop a report governance strategy to ensure data alignment and consistency across reports and dashboards. The strategy established teams, policies, and processes governing the use of standard metrics and data. It also helped the retailer establish an Analytics Council to oversee the BI program, a certification program to help data analysts build skills and advance careers, and a Data University to foster data literacy among rank-and-file business users.
Problem: The data infrastructure for this $2B+ consumer packaged goods company dated from the 1990s and could no longer keep pace with shrinking batch windows, provide suitable query performance, and support self-service requirements.
Solution: Datalere modernized the company's data infrastructure by helping it create a conceptual and logical architecture for a corporate data warehouse and integration platform to support existing business intelligence applications and new self-service capabilities. Datalere also helped develop a migration plan to align the new data infrastructure with a major ERP replacement project. It also guided the process to select a cloud data warehouse, Spark-based transformation platform, and a data catalog.
Problem: The new CEO of this globally decentralized manufacturer was frustrated by his lack of visibility into business operations, forcing him to wait weeks to understand the root causes of problems that were disrupting supply chains and hurting customer satisfaction.
Solution: Datalere helped a core team develop a comprehensive data and analytics strategy to align data, metrics, master data, and reports across the company's business units, which were accustomed to operating autonomously without much input from corporate. The plan included the creation of a cross-functional analytics council, the creation of an enterprise business glossary and data catalog, and the formation of SWAT teams to rapidly build core data infrastructure for business units.
Problem: The hospital had both under- and overuse of data analytics caused by an inefficient and uncoordinated allocation of resources, complicated by autonomous departments that built and maintained their own data and analytics infrastructure.
Solution: Datalere helped a new vice president of data analytics develop an enterprise data strategy to align and extend data and analytics resources across the hospital. The strategy involved fine-tuning a federated organizational structure where embedded data analysts are managed by the corporate analytics team, re-invigorating its data-governance program, reinventing project prioritization and management methodologies, uniting data and operational silos, and creating an analytics council to ensure hospital-wide coordination and alignment.
Problem: A regional metropolitan planning organization (MPO) was charged with fixing a data quality problem that caused an $8.4 billion-dollar error in tax-based revenue forecasting. It needed a data governance program to ensure all future forecasts and data products are error free and trustworthy for use by 18 regional jurisdictions as well as to federal, state and other local agencies.
Solution: Datalere helped design and guide the implementation of a comprehensive data-governance program to ensure the delivery of high quality and trustworthy data to regional governmental organizations as well as federal, state and other local agencies. The program ensures that regional agencies align on key metrics and models, properly integrate and interpret data, and develop trustworthy analytic models that drive multi-billion-dollar investment decisions in regional transportation and other civic improvements.
Problem: A large, multi-national technology and manufacturing company needed to transform a collection of 86 country-based business units and over 1,600 applications into a global enterprise that could operate as a single, unified business.
Solution: Datalere started by illuminating how shared, harmonized data was the single largest enabler of unified global operations. We then defined the strategy to integrate and accelerate global business processes by sharing data across the customer base and the entire value chain. In follow-on work, we defined and led the implementation of a global data-governance program and a complementary master-data management program, within a major transformation program that united the operations of multiple business units.
Problem: An international bank that finances infrastructure projects in selected world regions needed to integrate and align the activities of its four major business units. Each unit was working with the same customers and on the same loans, but data discrepancies reduced operational efficiencies and hindered global risk management.
Solution: Datalere defined a strategy to standardize master data across various business functions, including loan origination, servicing, risk management, and portfolio administration. We also developed the data architecture and model for the bank's new data hub to harmonize and distribute data throughout the enterprise and helped establish best practices for agile development and data governance.
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