Data powers strategic decision-making and uncovers new revenue streams in today’s business landscape. But leveraging analytics tools to achieve these goals isn’t easy.
Assess your needs and objectives to help you select the right embedded analytics platform for your business. This will ensure you get the most value from your data.
Easy to Use
Many analytics tools require users to log into a separate dashboard and analyze data, which takes them out of their workflows. This can be cumbersome for some users and may also slow down processes. A better option is a tool that embeds an analytics experience within the products or services that users already work with. This allows for self-service and more seamless data analysis and can be easily integrated into existing production processes.
Look for a platform that has an easy-to-use interface and offers interactive data visualizations. This will help your teams understand complex data sets, communicate them effectively, and make more informed decisions. In addition, consider whether the platform has a robust community and support options to help your team implement and use the forum.
Some platforms go beyond reporting and visualization and offer AI analytics capabilities. This allows businesses to uncover hidden patterns, detect anomalies, and predict future trends. This can improve decision-making and enable businesses to grow faster.
Evaluate the level of security offered by a vendor’s embedded analytics platform. Look for features like data encryption and authentication, role-based access, and audit trails that can protect sensitive information. Additionally, look for a data governance platform to ensure your organization complies with regulations and standards. This can help you avoid costly fines and lost productivity.
Easy to Create Charts
The best analytics platforms will quickly spit out beautiful, high-quality charts and graphs. It may seem small, but it separates excellent analytics platforms from average ones. This is especially true if you use the platform to share data with clients or investors.
Looker keeps your query details and visualization configuration together, so recipients get the data and a beautiful chart when you share a query. You can also edit your visualization options, such as naming and arranging chart axes or selecting a color palette for individual data series in the chart.
In addition, you can apply aggregate/definite functions on the data columns in a graph to the group and summarize data. This allows you to quickly display a data summary in the charts, for example, the sum of all visitors across all web pages or the total number of new customers added this month.
You can also change the default chart type for a report from the inline editor by clicking on the chart icon in the toolbar and selecting a different one. The chart types are Pie, Bar, Stacked Bar, Line, and Scatter. The default chart type depends on the data that are being plotted. Select the chart style in the inline editor from the open Chart Options dialog box.
Accessible to Everyone
An embedded analytics platform should be easy to use for your entire team. This will help foster a data-driven culture and ensure that insights are available to everyone on your team, from customers and partners to employees, stakeholders, and even the public. Evaluate the support, community, and training options the vendor provides to ensure that your team has access to the tools they need to leverage the platform effectively.
Identify the business goals and metrics you want to measure with your embedded analytics platform and assess how the tool aligns with those goals. Then, determine the analysis you need from the analytics tool, including whether you require self-service reporting and visualizations or more complex predictive analytics capabilities. Also, evaluate the integration capabilities of the analytics solution to ensure that it seamlessly integrates with your existing technology infrastructure.
For example, your goal is to improve customer conversions. In that case, you may benefit from a digital experience platform that proactively incorporates instrumentation-free analytics to surface user frustration points in real-time. This will allow you to amplify your customer service efforts and meet customer expectations while reducing the effort your team requires. Additionally, look for an analytics platform that offers a range of integrations with your existing databases, analytics tools, and third-party applications.
Easy to Collect Data
Embedded analytics platforms should integrate easily with data sources, like databases, cloud storage, and third-party applications. They must offer APIs, connectors, and other data integration tools that help businesses extract and load the correct data into the analytics platform for analysis. Then, they must also provide fast and reliable analytics performance as the data and user base grows.
If you are looking for a data analytics platform offering these features, consider Solutions, a powerful in-memory data engine for big data analytics. This platform suits various analytics use cases, such as managing real-time data streams or training machine learning algorithms. It is scalable, flexible, and can run on any data platform.
Other data analytics solutions include a comprehensive multichannel web and marketing analytics tool for mid-market and enterprise businesses that can handle large datasets. It has many features, including a streamlined workflow and customizable dashboards. It is also capable of integrating with other systems for data syncing.
For a more robust analytics experience, look for a solution that offers a native, integrated, and mobile analytics experience that users can access on any device. This will enable you to provide them with the data they need in their favorite tools when and how they need it.
