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Data Modernization
Your transition from legacy to cloud native data platforms goes merely beyond lift and shift. Organizational environmental factors, Domain-ownership and, Security heavily influence Technology decisions and must be accounted as part of your Data Modernization Strategy.
We propose a framework as part of our Data Strategy Service offerings. As and where applicable, a scoring matrix is thus developed based on criteria, weightage and scores
Step 1:
Readiness and Gap Analysis
An assessment of your current data capabilities, comparing them against industry best practices and your organizational goals.
This is best understood via working through a questionnaire comprising of the 5 adjoining areas and questions within each of these areas
1
Alignment between organization data producers and consumers.
2
Data initiatives driven by business users’ understanding and expectations with clear definitions of roles, ownership, and accountability.
3
Extent of domain knowledge and specialization both within IT and business teams.
4
Organizational factors that influence the adoption of technology and building the necessary skills.
5
Technology dependence and its role in shaping the current data architecture both from a logical and physical standpoint.
Step 2:
Data Modernization Assessment
Examining your existing data architecture and performing gap analysis with the intent of building and optimizing usage of your desired modern data platform ecosystem.
Data Security:
Protect Your Most Valuable Asset
Our Data Security practices based on RBAC (Role Based Access Control) ensure that your data access across the organization follows your Security policies. We can assist in implementing robust data security measures, to align with your data governance practices to maintain data integrity and compliance.
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