Insights at the point of impact

The data analytics process refers to collecting, processing, cleaning, and analyzing large data sets. It is a complex process that involves a lot of highly technical know-how and/or data analytics tools that provide the technical platform and expertise, and functional and intuitive visualizations presenting the insights.

Data analytics is important for businesses as it helps understand data in a meaningful way which comes with plenty of benefits. It can predict customer trends and behavior, enables faster and better decision-making, increases business productivity, as well as solve problems and prevent the occurrence of such. Data analytics can also help in optimizing and improving the customer experience, streamline operations and support the delivery of more relevant and better products.

Data analytics helps businesses understand their customers better, evaluate their marketing campaigns, personalize content and analyze their competitors. Furthermore, data analytics helps in setting realistic goals, reducing costs, and increasing revenue.

Data analytics tools are tools that help presenting data insights. There is a wide range of tools used in data analytics, but some of the most common ones include charts, diagrams, histograms, maps, etc. Surveys are also considered as data analytics tools as they help collect data about people’s opinions, behavior, or knowledge from targeted groups.

Slingshot brings the power of an integrated BI machine into your daily workflow allowing everyone within your organization to analyze data and create dashboards independently. That improves your team’s decision-making process and provides the opportunity to go from insights into action in a matter of seconds. You can work smarter and better by being able to access key business data wherever you are and at any time.

You can use your trained models’ data from Azure Machine Learning Studio or Big Query Models in Slingshot dashboards. You only need to choose your data source, build a visualization, and use the integration to connect to a trained machine learning model.

Data blending is the process of combining multiple data sources into a single data or functioning data set.

In Slingshot’s dashboards, you can bring in fields from other data sources when creating visualizations – all they need is a common field.