Data Management Consulting

We leverage the latest technologies to manage, store, cleanse, and govern your data. We work with our customers to support a data management strategy that fits the scale and scope of their business needs and to create an environment that allows customers to be confident in their data.

Data Management, Data Warehouse, MDM, Data Integration, Data Blending, Data Cleansing

Data management Services

  • Data Blending & Enrichment

  • Data Warehouse & ETL

  • Master Data Management

  • Data Cleansing

  • Performance Tuning

  • Big Data/Hadoop



Data Management Customer Case Study


The City of Lansing deployed a modern data warehouse tool called TimeXtender, and a data visualization tool called Qlik Sense, to support the police and fire incident dashboards.

Data Management Definitions


Data governance is the management of all an organizations data to ensure that high data quality exists throughout the complete life-cycle of the data. The key focus areas of data governance include availability, usability, consistency, data integrity, and data security.


A data warehouse is a storage architecture designed to hold data extracted from transaction systems, operational data stores and external sources. The warehouse then combines that data in an aggregate, summary form suitable for enterprise-wide data analysis and reporting for predefined business needs.

What is data integration?

The discipline of data integration comprises the practices, architectural techniques and tools for achieving the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.

What is a data lake?

A data lake is a collection of storage instances of various data assets additional to the originating data sources. These assets are stored in a near-exact, or even exact, copy of the source format. The purpose of a data lake is to present an unrefined view of data to only the most highly skilled analysts, to help them explore their data refinement and analysis techniques independent of any of the system-of-record compromises that may exist in a traditional analytic data store (such as a data mart or data warehouse).

What is data preparation?

Data preparation is an iterative-agile process for exploring, combining, cleaning and transforming raw data into curated datasets for self-service data integration, data science, data discovery, and BI/analytics.

What is Master Data Management?

Master data management (MDM) is a technology-enabled discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, semantic consistency and accountability of the enterprise’s official shared master data assets. Master data is the consistent and uniform set of identifiers and extended attributes that describes the core entities of the enterprise including customers, prospects, citizens, suppliers, sites, hierarchies and chart of accounts.

Source: Gartner IT Glossary

Contact Us

To learn more about our data management services, please contact us by phone, email or by filling out a form. 

Jerry Melvin
248-641-5900 ext 233

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