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  Skip Navigation LinksHome >Services >Enterprise Data Strategy



Enterprise Data Strategy
 
 
   
Working without a data strategy is synonymous to an organization allowing each department and each person within each department to develop its own security services. This empowerment allows each person in the organization to choose his/her own encryption scheme. Existing security services would be ignored as each person exercises his or her own creativity. Even to those of us who don't walk around with blinders, the resulting chaos is obvious and easy to predict.
The chaos without a data strategy is not as obvious, but the indicators abound: dirty data, redundant data, inconsistent data, the inability to integrate, poor performance, terrible availability, little accountability, users who are increasingly dissatisfied with the performance of IT, and the general feeling that things are out of control.

This is where RiVidium steps in and help with an organization's data strategy. We help organization with the guidelines for making the decisions that are absolutely crucial to the success of the IT organization. The absence of a strategy gives a blank check to those who want to pursue their own agendas, including attachment to certain technologies or Machiavellian aspirations of power. This includes those who want to try a new DBMS, new technologies (often unproven), and new tools that may or may not be appropriate. This type of environment provides no checks or validation for those who might pursue a strategy that has no hope for success.

RiVidium Data Strategy approach will result in the development of systems with less risk and a much higher success rate. It will also result in a much higher quality systems. A data strategy provides a chief technology officer (CTO) and CIO with a rationale to counter arguments for immature technology and data management approaches that are inconsistent with existing strategies.

Let RiVidium help you with:
• Data Integration
• Data Quality
• Metadata
• Data Modeling
• Organizational Roles & Responsibilities (Data Governance)
• Performance
• Security & Privacy of Data
• DBMS Selection
 
Organizations keep data on their customers, their suppliers, and transactional data that captures the heart of the business, the purchases, sales, customer calls, activities, as well as financial data. This data has value, which means it is an asset that is just as important, if not more important than the buildings, the parts inventory, accounts receivable, and equipment assets of the organization.

New federal regulations require the CIOs, CEOs and the CFOs to certify the accuracy of what is reported to the investment community and to governmental regulators. Such certification would be greatly improved if the organization had a strong and viable data strategy.
 
 
     
   
     
     
           
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