ENTERPRISE DATA MANAGEMENT

Digitalization has exploded over the past few years to the point where even our appliances collect data. In today’s world, companies that succeed make data driven decisions. This is only possible when data has been merged, sorted, filtered, and presented to the right person, at the right time, in the right way. In order to make this happen, we work very hard to fully understand both the industry, and the specific business needs, of our clients. Combined with our proven processes, we can tell the difference between data that is useful for business planning, and that which is just noise. We make sure that data driven decisions are a reality and not just a goal.

Large scale data migrations from one application to another

Migrating data of a single entity to a new instance of the same application

Consolidating data within enterprise

Consolidating data of applications outside of the enterprise typically during Mergers/Acquisitions

Data provisioning using SLT from SAP ECC and S/4 HANA

Integrate Data from multiple sources using ETL tools

Metadata and master data management

Ensure data quality using Data

Validation and Standardization

Ensure right data is presented to the right set of people.

​

________________________________________________________________________________________________________

Data Technologies

​

Frameworks: AWS, Azure, Salesforce,

Cloud Data Warehouse: Snowflake, Redshift, BigQuery. Athena, SageMaker

Traditional Data Warehouse: SAP BW, BW/4 HANA, Native HANA

ETL: Fivetran, Attunity, AWS Glue

Visualization: Tableau, Power BI, SAP BOBJ, Qlikview, Spotfire