Print E-mail

Information Management / BI


As the volume, variety and velocity of data proliferate across organizations and their extended supply chains, just managing data, let alone, extracting actionable information and intelligence has become an ever increasing challenge.  Cornerstone can assist our clients to maximize the business value of their information assets and ensure timely, informed decision-making throughout the enterprise.

 

The Information Supply Chain:  From Data to Business Insight

Information management entails the organization of and control over the gathering, managing, disseminating, leveraging and disposing of all information assets across the enterprise.  The following key business drivers further add to the need for better management and governance of data assets.

  • Business transformations can have the broadest impact on an organization and their underlying data management practices.  Business transformations, especially reorganizations and mergers and acquisitions, can force dramatic changes in data ownership and usage.
  • Pressing compliance issues can significantly impact data usage. These issues are diverse, involving internal policies around data security and privacy, legislated regulations.
  • The goal of business integration is to enable data-driven business activities like BI, CRM, and cross-business data exchange, whether between business units of the same firm or partners in a supply chain
  • Data Quality initiatives can take many different forms depending on the business priority or area of greatest operational pain.  All, however, share a common goal in improving the overall reliability and usability of data and are often a first step towards a governance program

 

Within the context of these strategic drivers, Cornerstone can

  • Analyze current BI capabilities and define the future analytical and reporting needs for the organization
  • Develop BI strategy and related technology architecture
  • Study the BI infrastructure to identify improvement opportunities such as
    • Modify and improve the list of reports used by business
    • Rationalize the use of current and new tools
    • Optimize the data classification, access, storage, reporting and analytics
    • Improve real time availability of intelligence to internal and external users, such as web-enabling opportunities
    • Evaluate Self-service report generation and analytics
  • Improve data access through integration of databases or creation of ODS and Data warehouses
  • Package evaluation and selection of BI tools