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

Big Data

Big data is a general term for larger and less structured data sets coming from a wide variety of modern data sources such as social media and the Internet of Things. Its size and complexity creates challenges for traditional data processing software, even as it offers opportunities for deeper data insights for organizations.

The Three V’s

  • Volume This is high volume, unrefined data. It may include data feeds and clickstreams. For some businesses, volumes may be in the tens of terabytes or hundreds of petabytes.
  • Velocity Velocity refers to the rate at which data is obtained and processed. Data processing allows the highest velocity of data streams into the memory, though some data processing products operate in real time to provide instant analysis and insights.
  • Variety Variety is the types of data available. Unlike traditional data that is structured and stored within a database, it needs additional processing to gain insights and support metadata.

The Business Value

Data has value for a business, but only if it can be analyzed and utilized properly. It must also be accurate, or all of the insights gleaned from it may not be accurate.

The world’s largest tech businesses derive value from their data to analyze and produce more efficient and effective products for their customers. As with giant tech companies, data holds value for all businesses for example, for product development and customer insights.

New technologies like the Cloud have made data storage and analysis much less expensive and easier to store than it once was, allowing companies to process an increasing volume of data for better business decisions. They can streamline the discovery process and provide access for all users, from business users to data scientists.

Related Links

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