DCB

Data governance defines how data is organized within a broader data management strategy.

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Why Not to Ignore Data Governance

Garbage In, Garbage Out

Feeding in data with lack of control leads to wrong and ineffient insights.

Data Quality

Non-existent, inappropriate, and incompetent governance leads to insecure, inconsistent, and unreliable data quality.

Inefficient Data

Incorrect data impacts the quality of analytics and business intelligence insights.

Incosistencies Across Organization

Inconsistencies in various systems across an organization may remain unresolved.

Garbage In, Garbage Out

Feeding in data with lack of control leads to wrong and ineffient insights.

Data Quality

Non-existent, inappropriate, and incompetent governance leads to insecure, inconsistent, and unreliable data quality.

Inefficient Data

Incorrect data impacts the quality of analytics and business intelligence insights.

Incosistencies Across Organization

Inconsistencies in various systems across an organization may remain unresolved.

Adaptive governance enables flexible and nimble decision-making processes that help an organization respond quickly to opportunities, while continuously addressing investments, risk and value

- Gartner

Our Advantages

  • Improved data quality and consistency across the organization
  • Better decision-making and analytics insights.
  • Reduced risk of data breaches and compliance violations.
  • Increased efficiency and productivity.

How Our IT Services Transformed
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Insights

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  • Blog
artha
Top 5 Trends in Master Data Management

In the era of digital transformation, businesses grapple with not only a surge in data volumes but also increased complexity, and stringent regulatory demands. Addressing these challenges necessitates the adoption and evolution of Master Data Management (MDM). Master data management (MDM) is the process of creating, maintaining, and governing a single, consistent, and accurate source […]

  • Blog
artha
Decoding Efficiency: The Transformative Role of Data Catalogues in the Financial Sector

Data catalogues play a pivotal role in organizations by assisting in managing, organizing, and governance of data assets. This not only enhances operational efficiency but also facilitates more informed decision-making. This metadata management tool that enables users to discover, understand, and manage data across the enterprise. It provides a central repository of metadata, including: Data […]

  • Blog
artha
Telecom Industry and Data Governance: A Symbiotic Relationship 

The Technology, Media, and Telecommunications (TMT) industry is rapidly transforming, fuelled by remote working, the advent of 5G networks, and other groundbreaking innovations. This technological revolution has led to the generation of vast amounts of data, often left untapped, hindering organizations from realizing their full potential. Harnessing this data strategically through data governance is pivotal […]

  • Blog
artha
Are Your Data Governance Initiatives Failing? You must read this

In today’s dynamic and ever-changing organisational environment, data governance is a pressing need. Businesses today collect enormous amounts of data from several sources while data governance aids in risk management, value maximisation, and cost reduction of the data accumulated. Data governance, in a nutshell, is the activity of being aware of where your data is, […]

  • Blog
artha
6 Master Data Management Strategy Tips Essential for Business Success

Master data management Strategy (MDM) describes the rules for collecting, gathering, combining, de-duplicating, regulating, and managing data collectively throughout a corporation.

Future of Data Governance Services: Top Trends For 2022 and Beyond

There was a time in the early 2000s when data governance was not really a thing. Surely, there were pioneers back then who laid down the groundwork for data governance, but it wasn’t still taken seriously.