GOOD TO KNOW

Questions we can answer together.

How do I define a roadmap to modernize my data architecture and technical landscape?

How do I ask the big questions when most time is spent finding and threading data?

How do I rationalize and modernize the organization’s data management technology stack?

How do I define and manage enterprise data to ensure data quality and governance?

How can I turn streaming, social, and event-driven data into real-time, meaningful insights?

How do I get a 360-degree customer view for my business?

Enterprise Data Solutions

Remove obstacles and technical gaps, and replace them with governance and management consistent with the new analytics ecosystem.

 

We help organizations acquire, validate, store, protect, and process required data to ensure the accessibility, reliability, and timeliness of the data for its users:

 

  • Data governance
  • Data quality management
  • Data modeling and database design
  • Master and metadata management
  • Data integration

 

Tools include: Informatica, Talend, Data Stage, Paxata, Master Data Management (Informatica, Talend, IBM, Riversand), ERWin, etc

Develop high-level architecture roadmaps by rationalizing technology investments. This process allows for the creation of data strategy to meet current and future business needs.

 

  • Initial technology assessment and data architecture blueprint
  • Strategy and delivery roadmap
  • End-to-end implementation

Audit your BI architecture and run a comprehensive health check of your data warehouse to modernize your analytics architecture.

 

We help organizations implement business self-serve analytics and enterprise reporting.

 

Tools include: Cognos Analytics, Microstrategy, Power BI, SiSense, Tableau, Teradata, SQL Server, Oracle, Redshift, Snowflake, etc.

Develop and deploy analytics solutions, including a migration of workloads to modern, cost-effective analytic platforms by using agile methods and flexible resource models.

 

  • Data Lake
  • Machine Learning

 

Tools include: AWS-S3, Hadoop, Spark, R, Python, Amazon Machine Learning, etc.

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