Business Technology

Understand How Data Intelligence is the Future of Data Governance

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Digital Intelligence: An Integral Need for Better Data Governance

Digital Intelligence can adapt and apply a new set of knowledge and attributes hosted on a digital platform or via digital technology, i.e., social media, mobile, analysis, cloud cybersecurity, and many more. On top of adopting digital technologies, it emphasizes addressing the optimized use and incorporating the digital approach to enhance operational effectiveness.

To omit the further misconception, you can say that Data Intelligence never eradicates the intervention of human intelligence in the process. Rather, it encapsulates the integration of human ability with software intelligence to capitalize the rational operational behaviour to the best of its potential. So, it involves the expertise of employee resources and digital technology for the organization’s benefit. 

As put by Ken Dixon, Executive VP of Marketing at Kogent Corporation:

“Running a business shouldn’t be like gambling. Far too often, executives must rely on ‘best guess’ and ‘gut feel’ decisions as they attempt to steer their companies into the future. Business intelligence can provide more accurate historical data, real-time updates, synthesis between departmental data stores, forecasting, and trending, and even predictive ‘what if?’ analysis.”

As per IDC, Digital Intelligence enables the organization to answer six basic questions:

  • Who holds the authority to use the data?
  • Who is using the data without clear authority?
  • Where is data, and from where did it come from?
  • When is the data getting accessed, and when was it last updated?
  • What is the need for having useful and obsolete data?
  • How is the data getting used, and how is it supposed to be used?
  • What is the relation between the data and customers?

These solutions make an enterprise incorporate smart and easy data governance, which is the most vital aspect of the required and feasible data security across the entire organization. 

Data Governance features that Data Intelligence leverages:

  • Automated classification of business portals 
  • Tracking, analysis, and evaluation of reports that tend to transform with time.
  • Trust Flags creates awareness about the sensitive information that data contains.
  • Deprecations to warn users of deprecated datasets.
  • Dashboard for keen monitoring of assets assigned with the process.

In this way, Data Governance empowered with intelligence data processing enables you to deal with major impediments involved within the system. It brings a solution for maximum perspectives and problems in compliance, regulation, and other business affairs by formalizing the authority and responsibility encircling the data. Apart from that, it also transparently redefines the roles and responsibilities so that data governance becomes visible and trustworthy.

“The next generation of competitive advantage comes from analysing unstructured content to understand how and why these things happen. From simple content-based metrics to sophisticated sentiment analysis, [business intelligence software can] provide a more complete view on customer and competitor experience and opportunities therein.” 

Sid Probstein, CTO, Attivio

Since data governance plays an integral role in the process, it can inculcate a high degree of compliance behaviour to create awareness among people regarding the sensitive and crucial database.

Data Intelligence with Metadata for better Governance

Meta Data plays an integral role in the effective implementation of data intelligence. So, the top-notch mete data categories that you can come across are:

  • Behavioural Analysis: This track record shows the accessibility of users and the method by which it is getting used. 
  • Technical Evaluation: They display step-to-step diagrams with defined tables. 
  • Business Prediction: They evaluate the policies and norms for handling various kinds of data. 
  • Provenance: They show the connection between two data object versions formed when a new dataset version is created.

Final Word

Today, the acceleration of technological advancement has transformed every business sector’s approach, behaviour, and vision across the globe. This transition phase’s empowerment has served us on the platter is truly phenomenal. We moved from on-premises infrastructure to cloud platform, files, and folders to cloud accessible data and manual data evaluation to big data analytics. This enormous change has given rise to a cosmic intelligent system that must be harnessed without any objection and demur. 

“Today, many business intelligence software vendors are making it possible for users to access key business metrics, reports, and dashboards on mobiles devices like their iPhone, iPad, Droid, or BlackBerry, giving sales and marketing people access to critical business information on the fly.” 

EnterpriseAppsToday, Ten Benefits of Business Intelligence Software
  • Improve your graphical decision-making database on a real-time basis and highly accessible business reporting.
  • Cost-effective and time-saving to stimulate the best functional efficiency.
  • Quick identification and response to present market trends and opportunities. 
  • Enhanced motivation and collaborative work across the complete organization.

All these functions leading to an established and functional data governance can be possible with the adoption and integration of data intelligence with data governance.

About the author


Carlotta Krajcik

Carlotta Krajcik is a Technical Consultant at USA-based one of the leading Data governance service provider, BITSCAPE, and she has hands-on experience in delivering consulting services. Apart from technical things she's also having an interest in reading books & informative articles.