Increasingly, data and information have become the raw material and end product for entire industries, for companies and for many internal business processes. Unfortunately, managing these critical assets has not kept pace with the increasing complexity and rapid change of related technologies or business applications. Informal, unplanned management of business data and information are the Achilles’ heel for many of the significant, strategic IT investments of the past ten years - from ERP to CRM to data warehousing initiatives. As a result, companies have experienced disappointing returns for projects that spanned years, and in some instances, have written off investments in new systems and applications, never achieving the anticipated results.
At MIDIOR, we are agnostic to the various tools and applications a company may have implemented to support their various business processes. Typically, we find there is nothing inherently wrong with the technology itself. Rather, the time and cost of documenting, tracking and maintaining the data that makes applications relevant and useful has not been given sufficient priority or attention. The result is rapid deterioration of data quality and a subsequent decline in the value of applications and systems to the business.
As the amount of data continues to multiply exponentially, successful organizations are those which develop strong competencies and disciplined processes for data and information management. We believe that you cannot throw technology at undefined problems and that engineering principles should be applied in specifying how data and information will be used and maintained. The companies that do this successfully will find greater leverage from their information technology investments resulting in tremendous cost and cycle-time advantages over their competitors.
At MIDIOR, we approach data flows of complex information systems using systems engineering concepts. We help our clients define system inputs and outputs including dimensions of quality, speed and scale. These specifications and models are then available to identify bottlenecks, and address risks and opportunities for reducing costs while improving quality and productivity. MIDIOR services are classified into planning, implementation and skills development categories, to make it easier to deliver the result that is right for the client:
- Data & Information Architecture
- Data Management & Governance Models
- Metadata Strategy
- Documentation of Data Requirements and Specifications
- Metadata Tools Deployment
- Data Quality Scorecards
- Data Cost Models