Modern Data Management

Trusted, relevant, and timely data, custom-tailored to the specific requirements of your business, can provide unbeatable Insights and useful business intelligence.

How much faster would you like your business to run?

The Challenges of Modern Data Management

Best Practices and the EIMetrixs Solution

Challenge: Discoverable data

Internal data is typically locked up in application data silos. For decades, data has been attached to enterprise applications and was never designed to be shared across disparate systems.

Challenge: Scalable solutions

The growth of data volume, variety, and velocity is well-documented. IDC estimates that the amount of data generated is doubling every two years.

Challenge: Consistent quality

Analysts estimate that 50 percent of data is coming from sources external to the organization: This data comes in many formats, quality levels and with little or no business context attached.

Challenge: Self-service access 

There is huge growth in new types of users such as business analysts and data scientists who want and need access to data and expect self-serve access.

Challenge: New use cases

Data transformation is driving new business models that require data from many new internal and external sources to derive value in terms of customer understanding or decision-making.

The EIMetrixs Solution

Leadership in data-driven data transformation requires a new approach to data management: Data must be viewed as a shared resource, contain intelligence-driven insights, immediately discoverable and usable by all. Architectures need to be designed data-out rather than application-back. Applications will come and go; what differentiates a strategy is your data and how you use it.
We are experiencing unprecedented technology change at all levels of the stack.  Architectures need to be designed for change. As an on-demand resource, the Intelligent Data Platform can quickly adapt to change with minimal impact from:

  • New data sources
  • New use cases
  • New technologies such as big data, cloud, etc.
  • New user types
  • Support for both traditional data and rapid experimentation for innovation, such as blockchain, Ethereum
  • Business users must be enabled to manage and self-serve data for their needs
Successful data-centric business strategies are built on a foundation of trusted, relevant, and timely data. Winning in this environment requires an architecture and a distinct competence in data management.
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EIMetrixs

EIMetrixs provides services which help make the best possible use of data.

EIMetrixs offerings enhance and augment the speed and usability of existing data services within an organization.

Headquartered in the United States of America, we serve clients globally.

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info@eimetrixs.com

Mailing Address:
2605 Camino Tassajara # 3037
Danville, CA 94526.