Cognitive Analytics is intelligent technology that covers multiple analytical techniques to analyze large data sets and give structure to the unstructured data. To put it simply, a cognitive analytics system searches through the data that exists in its knowledge base Read more
Build the Reports That You Need When You Need Them Data Modeling & Management Orbit’s data modeling functionality achieves highly-tuned queries by identifying the objects needed from multidimensional data relationships. You can build reports as per your business requirements to Read more
Simple, Intuitive, and Powerful Dashboards Data Visualization: Dashboards Orbit Reporting and Analytics brings all of your data together in real-time and interactive dashboards, so you can gain a clear view of your business – at a glance. View Data from Read more
A measure of key business objectives of an organization. A Key Performance Indicator (KPI) is a measure that determines how effectively, or ineffectively, organizations, projects or individuals achieve their key business objectives compared to their strategic objectives and targets. With Read more
Pivot tables and crosstabs are ways to display and analyze sets of data. Both are similar to each other, with pivot tables having just a few added features. Pivot tables and crosstabs present data in tabular format, with rows and Read more
Pixel perfect describes reports where the user can manipulate the size and layout with precision. This includes allowing the user to change the size of the report, the size of the printed page, and the position of the different elements Read more
An initial level of Enterprise Data Model (EDM), which provides a structure for organizing EDM by Subject Areas. A Subject Area Model, together with a Conceptual Model and a Conceptual Entity Model forms the complete structure of the Enterprise Data Read more
The term “tabular” refers to data that is displayed in columns or tables, which can be created by most BI tools. These tools find relationships between data entries in one or more database, then use those relationships to display the Read more

Data Governance

In today’s fast-paced and highly competitive business environment, data governance is more important than ever. Businesses have the chance to capture large amounts of data from various sources, but they also need a way to maximize the value, manage the risks and lower the costs of maintaining it.

What Is Data Governance?

Data governance is a set of roles, processes, policies, metrics and standards that streamline the use of data in helping businesses achieve goals. It sets a standard for responsibilities and processes that ensure the security and quality of data throughout the business, defining who can take what action, with what data, using what methods and under what circumstances.

Any business working with large volumes of data needs a data governance strategy that explains how the business benefits from consistent responsibilities and processes. It helps the entire organization understand what data needs to be controlled and why, and it establishes clear responsibility, accountability and roles related to the data.

Benefits for Business

  • Data governance provides a consistent view and standard terminology for data.
  • It provides stewardship and ownership of data for resolving data quality and data integrity issues, data protection issues, including a plan for data accuracy, consistency and completeness.
  • It makes it easier for staff to identify the location of data assets. This makes assets usable and easier to relate to business strategies and outcomes.
  • Data governance presents a basic framework to provide business users with a consistent of data across business activities and users.

  • It provides a method for meeting the constraints of government compliance and regulations, such as the US Health Insurance Portability and Accountability Act (HIPAA) and the EU General Data Protection Regulation (GDPR), and specific industry requirements.
  • IT brings the human element into a data-driven world. It presents the best practices and codes of conduct in data management, which keeps everything consistent across assets.
  • Data governance maintains the audits of changes that occur with data over time and traces its origin for compliance. It also ensures that the data within an organization comes from trusted sources and is appropriate for business objectives.

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