Data Innovations provides professional services in the following areas:

Data Architecture

DI enterprise data architects establish and develop enterprise data architectures for application development, enterprise resource planning, data warehousing, master data management, and business intelligence efforts. DI architects work closely with the client to build data governance, data modeling, data profiling, metadata repository, and data quality practices.

Data Modeling

DI modelers are experienced with developing data models for applications, data warehousing, master data management, enterprise resource planning, and metadata repositories. DI modelers are experts with the integration and utilization of the CA ERwin® Data Modeler product, along with the other products in the modeling suite.

Data Profiling

DI data profilers have extensive experience developing data profiling methodologies to solve business problems such as data quality, data modeling, data sourcing, and more. DI profiling methodologies are proven to deliver repeatable success. DI data profilers are experts with establishing the profiling environment and mentoring clients to successful utilization of profiling technology.

Database Administration

DI DBAs provide database system and application support for transaction systems, data warehouses, master data management, URL, and more. DI DBAs are experts with tuning your RDBMS to run as efficiently as possible utilizing CA Insight™ Data Performance Monitor for DB2 for z/OS and CA Insight™ Data Performance Monitor for Distributed Databases.

ETL

DI consultants have years of experience delivering successful ETL projects for data warehousing, master data management, and enterprise resource planning efforts. DI consultants are well versed in all the leading ETL tools in the market today.

Project Management

DI project managers are PMP certified and experienced with utilizing CA Clarity™ for portfolio and project management. DI project managers are well versed in delivering successful application development, data warehousing, master data management, and software integration projects.