Enterprise Data Management & Strategy
Building a data-driven enterprise touches all aspects of a company, including its people and culture, but fundamentally it is anchored by the underlying data strategy. Enterprise Data Management (EDM) is an essential business requirement to create confidence and trust in data upon which the business relies, and often times this is where BizAnalytica is asked to start.
The legacy of uncoordinated approaches by various departments of a company to gather, store, and process their data will result in siloed data conflicts, qualify inconsistencies, and increased operational risk. Like all critical business efforts, BizAnalytica starts by building an overarching data strategy.
User Requirements and Infrastructure Inventory
BizAnalytica works with its clients to fully understand the data needs of end-users and the organization taken as a whole. This mapping of data flow and inventory is a crucial first step.
Policies & Metadata Mapping
All operating procedures and policies associated with the data model, business glossary, master data shared domains data cleansing, normalization dependencies, security constraints, and more, must be understood and documented.
With the data content challenge understood, we work with our clients to develop a comprehensive data model that considers all legacy technology infrastructure, including applications, their migration paths, and the short to long term business goals of the company.
Some clients include:
Developing Data Strategy that Leverages Scalable Cloud Infrastructure
Putnam was hitting roadblocks in migrating off of their on-premises Hadoop environment. The firm sought to enable sustainable business growth and profitability by capturing efficiencies through improved data access and eliminating duplicate data.
Migrating Analytics Workloads from Netezza to Cloud
Facing a lack of support for Netezza moving forward, the migration would need to happen quickly without disrupting business operations. Because daily workload demands had to be executed in a narrow window of time before the financial markets open, this was especially daunting.
Modernizing Enterprise Data Services with a Scalable Cloud Infrastructure Oracle to AWS & Open Source
Wellington’s use of data has historically been somewhat fragmented and compartmentalized creating a suboptimal client and employee data access experience, and one which failed to accommodate growth.