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Data Management

for optimal decision making

Guided migration to a different cloud vendor and process optimization.

In today’s digital economy, companies have more access to data than ever before. Data management creates a foundation for important business decisions, making essential functions easier and less time intensive.

So, what is data management?

We can refer to it as the practice, architectural techniques, and tools for collecting, maintaining, delivering, improving quality, and securing consistent access to data across the enterprise, to support consumption requirements of all applications and business processes.

At Tridius Technologies, we focus on the importance of the enterprise data strategy. The vision, plan, standards, and policies for how an organization will collect, store, analyze, share, and use data and information assets throughout their lifecycles.

It is all about strategy…

Data is an asset with unique properties. One way it differs and in return makes it extremely important, is that data is not consumed when it is used as in financial and physical assets. Therefore, it should be treated like any other asset management practice.

Without data management an enterprise data strategy does not exist. Data strategy should provide a vision for moving the organization towards becoming a more data-driven culture and set the means for information and knowledge sharing to support optimal decision making.

Failure to manage data is like failure to manage capital, it results in waste and lost opportunity. Therefore, we share some best practices to ensure you are building a successful data management lifecycle:

Stage 1:

  • Perform Data Management Maturity Assessment
  • Create Targeted Program for Data Management Maturity Improvements
  • Perform Data Strategy Discovery and Business Alignment
  • Assess Regulatory Compliance Requirements

Stage 2:

  • Define the Data Strategy
  • Define the Data Management Framework
  • Establish Scope and Approach
  • Develop Goals, Principles, and Policies
  • Define Data Standards and Procedures

Stage 3:

  • Develop the Data Management Charter Document
  • Develop the Data Management Scope Statement
  • Develop a Roadmap

The primary driver for data management is to enable organizations to obtain value from their data assets, just as effective as managing of financial and physical assets.

When to implement data management? The answer is today!

Tridius Data Management 2022 v1 shutterstock 793046887

Any organization that wants to make better business decisions has a need to implement data management. Information and knowledge are the key competitive advantages leading organizations to quickly evolve to strategically prepare products, services, and data to take advantage of business opportunities inherent in emerging technologies.

Promoting change, transformation, and agility between business and IT, will facilitate managing complex data delivery throughout the enterprise and it will translate business needs into data and system requirements, so that processes consistently have the information they require.

Organizations come in all sizes, and we pride ourselves on partnering with IT and business areas to create customized Enterprise Information Management programs that succeed in delivery business outcomes.

Tridius Technologies provides data strategy and management services in many areas that include management of data in the cloud, data strategy, data governance, tool selection, data modeling, data analysis, data quality, data integration services, cleansing and master data management.

It is our goal to help our customers find the most value in their data to make intelligent decisions to become or stay leaders in their respective industries. Our partner’s success is our success!

About the author:
Blake Snider 
Managing Architect at Tridius Technologies
Know more about Blake in Linkedin.

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