Data exploration is the first stage in the process of data analytics where an individual makes the use of a huge data set to explore the basic characteristics, relevant ideas and patterns. It is just meant to be used as a blueprint or a point of reference and doesn’t need to cover microscopic details.
With data exploration users can combine manual data with automatic features for representation such as statistics, charts, graphs and reports.
With state-of-the-art solutions like IBM Cognos, you can explore new dimensions of data analytics and discover pathbreaking ways to depict them with the help of the tools available.
As you explore further, IBM Cognos will help your data to evolve by understanding your patterns based on your past actions. Furthermore, it will provide useful insights in a refined manner, for you to set up your reports in order, without interfering.
IBM Cognos provides a graphical solution to data analysis where its users don’t have to be bothered with the placement of graphs, bars or pie charts.
With its natural language-powered AI voice assistant you can easily create a plethora of system-suggested graphics and visualizations in a number of formats.
In addition, you can ask questions to the Artificial Intelligence assistant regarding your analytics and data to receive factual and analytical responses. Perhaps one of the best functions of IBM Cognos is how easily can you share the reports with the concerned people by just copying your visualisations to the dashboard. It can also be integrated with collaboration software such as Slack to share analytical reports.
Apart from AI, IBM Cognos, also uses augmented intelligence, which accelerates the time to look for valuable insights from a large cluster of data.
There are a number of tools required for data exploration which includes sifting through the data clusters to find relevant material. Connecting two different parameters for an analysis and identification of patterns with the help of previous actions taken by the user.
IBM Cognos provides tools for all of these functions. It helps in uploading the data sources to initiate exploration and then it finds relationships within the data cluster. Once these relationships have been found, it surfaces those observations to initiate the analysis. Finally, it identifies patterns along with key drivers to provide a concise yet effective report based-upon the findings.
IBM Cognos delivers a personalized analytics experience which is designed specifically looking at the previous behavioural patterns and requirements of the user.
The analytics deliver an experience which makes its users, the smartest people in the room. With the help of its precise graphical visualisations it is enabling its users to find solutions to problems that no one else can find.
With the help of its advanced pattern detection and machine learning, IBM Cognos can help reveal patterns and relationships in a huge data set that might not be evident. It provides necessary insights to help eliminate blind spots, speculations and fruitless probing by surfacing and identifying relationships between seemingly unrelated data, based on the user’s analytical requests in the past.
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