Enterprise Information Management
Most companies understand the value of data as a strategic asset. Big Data has emerged as an industry buzzword, describing the volume and speed at which companies are gathering data on their customers and prospects.According to IBM, "Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone."
Big Data can make companies more agile by supporting operational insights and predicting future events and business opportunities. But, in order to fully exploit an organization's Big Data, the data must be integrated, trusted, secure and available. Sound Enterprise Iinformation Management (EIM) practices will allow your organization exploit it's data.
Problems and Their Symptoms
+ Burdened by an ever-increasing overload of data
+ Complexity of the data is unmanageable
+ Data scattered throughout the enterprise is not easily accessible to end users
+ Data is stale and/or not actionable when delivered
+ Data quality and/or security is suspect
Solutions
Enterprise Data Strategy
Actionable, incremental roadmap for leveraging Big Data and converting them into new insights that ultimately impact revenue.
Data Integration
The integration of unstructured, external, and proprietary data can be a complex and often daunting task.
Reporting and Analytics
Robust reporting and analytical capabilities allow an organization to leverage data to the fullest extent.
Data Quality
Ensuring that the information consumed by the end users is in alignment with their expectations.
Data Governance
The highest quality, highest value data assets from all relevant and appropriate sources are available to all data consumers.
Data Architecture
A robust, scalable and extensible EIM architecture that supports the required capabilities of the organization.
