Data Intelligence is the action of scrutinizing data to materialize decisive forms of information which will be used by organizations to amplify their services to new efficient levels. Data intelligence comprises of interpreting the data relating to the functioning of a company and arriving at technological policies which will ensure better decision making. Complex event processing, key business executions and online analytics form the biggest chunks of data stored by any organization for review. Data Intelligence focuses on comprehending these data for future undertakings.
Data intelligence forms a collateral relationship with business intelligence and they are vital for each other’s execution. Even though both lie in the same vertical, the two processes are entirely different. Business Intelligence or BI is used by the organizations to analyze data to make business decisions. Data intelligence is inspecting the internal data of a company for trends which will help in building better decision for future. Data intelligence can be precisely viewed as an operation of asking questions which leads to business intelligence. In brief Data Intelligence or DI and Business Intelligence or BI involves organizing data for better business practices.
Many enterprises have started using data intelligence to expand their services and investments. This includes collecting even online data regarding customers on different social media and e-commerce platforms. Organizations use this data to regulate the behavior of customers and ensure they keep reaching back. It has raised serious privacy alerts as customers do not want their private online activity to be monitored. But still data intelligence has largely been relevant for its multitude of advantages it offers.
Data Visualization: Creating Impactful Reports
White Paper By: DataFactZ Solutions
Data visualization is an effective way to create impactful reports, dashboards that improve decision making, enhanced ad-hoc data analysis, better information sharing, increased ROI, time saving and reduced burden on IT. Data visualization is an essential component in the era of big data, enabling users to see trends and patterns that provide actionable intelligence. This white paper...
Data Center Infrastructure Management Enables You to Maximize IT Infrastructure Value
White Paper By: Panduit
The technological platforms such as cloud, big data, telecom industry, and social media are engaging towards better customer service, workforce collaboration, and cost efficient means. It is essential to address the maximizing of IT infrastructure and the efficiency of physical data centre in order to intelligently monitor the availability of resources. The Data Center Infrastructure...
Data Diversity and Cutting-Edge Insight For Sales And Marketing
White Paper By: Aberdeen Group
Today, the challenge for many organizations is that the variety of data needed for many innovative analyses is often locked away within other functional areas. Even with the inherent value in traditional customer applications, presently most compelling insights are actually derived by combining multiple different types of disparate data. This whitepaper focuses specifically on the sales...
Big Data Analytics using Apache Spark
White Paper By: DataFactZ Solutions
Apache Spark is the next-generation distributed framework that can be integrated with an existing Hadoop environment or run as a standalone tool for Big Data processing. Hadoop, in particular, has been spectacular and has offered cheap storage in both the HDFS (Hadoop Distributed File System) and MapReduce frameworks to analyze this data offline. New connectors for Spark will continue to...
Big Data Projects‐ Paving the path to success
White Paper By: Intersec Group
The advent of open‐source technologies fueled big data initiatives with the intent to materialize new business models. The goal of big data projects often revolves around solving problems in addition to helping drive ROI and value across a business unit or entire organization. It’s often difficult to launch a big data project quickly due to competing business priorities; the...
The Top 5 Ways Publishers Can Be Successful in the Digital World
White Paper By: Iptor Supply Chain Systems
In the publishing industry, the rise of technology has extended beyond publishers simply digitizing content for those readers who prefer ebooks or online learning systems to print—forcing businesses to adapt their processes and products to accommodate new customer demand. In this new age, technology has allowed for many of these processes to be streamlined or automated, allowing for...