In 1996, Bill Gates wrote an essay entitled “Content is King,” predicting the enormous value digital content would hold in the succeeding years. While content still holds enormous value at the consumer and business ends of the digital space, Microsoft’s own investments in data analytics have helped make data and analytics a co-reigning source of value for business today.
The heavily integrated Microsoft analytics ecosystem, including the Azure platform for cloud computing services, Synapse for orchestrating the ingestion of data from diverse sources, and Power BI for generating actionable dashboards and reports, has made data analytics available to firms of all kinds. Any business can benefit from having a data strategy. In this post, we’ll discuss why we like the Microsoft ecosystem, and show how it can help firms start generating value quickly and securely.
Synapse for data ingestion
Microsoft has done a great job of laying out their Synapse platform to be exceptionally feature complete. It includes functionality for data ingestion, setting up pipelines directly within the platform, carrying out data manipulation, and support for other workflows including machine learning functionality that integrates directly with Power BI.
These features and functionality together make Synapse a one-stop shop as an analytics platform, allowing users to consume and visualize reports directly. Naturally, there are tasks required to prepare the platform and get those reports stood up and integrated. Microsoft has made these start-up activities intuitive with features including native connectivity to all available data sources.
An excellent feature of Synapse is that companies don’t need to be running systems on Azure to take advantage of its tools. One of the unique features of Synapse is its collection of out-of-the-box connectors that interface with many different types of data sources. For example, if a customer is ingesting some data from Azure systems alongside data ingestion from branch sites and other data centers, Azure’s functionality coordinates the mixed cloud/on-premises process..
Why we prefer Synapse
The Microsoft ecosystem is one of the most well-developed and widely-used in the analytics space—and it’s also tightly integrated. Choosing to use Synapse allows firms to take full advantage of the enormous research and development Microsoft has poured into both the functionality and native integration of its entire ecosystem.
Let’s take a look at an innovation-oriented example of how this advantage plays out. With Synapse, a firm can use the powerful Azure automation tools to spin up a workspace and intelligently manage compute consumption, ensuring that the most value possible is derived from every compute hour purchased.
Users also integrate very easily into the Azure environment using their current Microsoft credentials, which have security and audit compliance features like multi-factor authentication built in. As a result, it’s easy for existing authorized users throughout an organization to securely access the published Power BI reports and workspaces they need to inform innovative work.
How to adopt Power BI and Synapse
The advantages of the Azure environment’s strong integration and well-developed ecosystem doesn’t stop at the business level. On a deployment and user experience level, Azure tools can start generating value out of the box.
For example, both Power BI and Synapse can be adopted and start generating value using in-house resources without the need to engage an MSP. Even without specialized training, out-of-the-box Power BI is intuitive for most users. Additional training and specialization will allow users to maximize the value they can get from Power BI, but it isn’t necessary to get started.
The same is true for Synapse: training, specialization, and additional expertise in the form of in-house resources, partners, or an MSP aren’t required to get started, but most organizations will want to introduce one or more of them eventually to get the most from the tool.