Organizations must be able to connect to numerous data sources and blend a growing amount of data. But it’s getting harder to keep up with all that data and derive strategic decisions from it.
According to a recent IDG survey, companies draw from an average of 400 different data sources to feed their BI and analytics. Many widely accepted beliefs about business intelligence and analytics suggest that the only way to deal with these volumes of data is to bring them all together in one place. Only then can you prepare your data in a way that can be analyzed with your business intelligence tools.
Unsurprisingly, many believe this is the only way to do analytics. After all, typical BI tools do require data to be brought into a single standardized format, and cloud data warehouse solutions, such as AWS, SAP, and Snowflake, are the widely chosen path to accomplish this. But is there a better way? As data volumes grow exponentially and you work to keep up with near-constant demands to prepare data for analytical consumption, are we buying into a myth?
Our latest guide, Mythbusting Business Intelligence vs. Decision Intelligence, reveals the truth of the matter. With our enterprise decision analytics software, all of your data does NOT need to be in one place to analyze it.
While there will always be a role for data warehouses featuring highly curated data, volumes are growing exponentially, making it difficult, if not impossible, to keep up with the near-constant requirement to prepare the data for consumption.
For your organization to truly get the most out of its data, regardless of how complex your environment is, leave the data where it is and bring your analytics platform to your data instead. To achieve this, look for a decision analytics software solution that can directly query the data, no matter where it is.
At Pyramid Analytics, we’ve watched organizations continue to invest in multiple fragmented tools requiring specialized technical skills that only worsen things. We’ve set out to dispel the myths about analytics and business intelligence holding people back and failing to deliver value in today’s world. And we believe it boils down to several myths or widely accepted “truths” born from the limitations of today’s BI tools. These myths aren’t wrong in all fairness; they are simply outdated because there is now a better way with Pyramid.
Gartner defines decision intelligence as “a practical approach to improving organizational decision making,” which “models each decision as a set of processes, using intelligence and analytics to inform, learn from, and refine decisions.”
Decision intelligence enables data and analytics leaders to empower anyone in their organization, from the C-suite to the front-line, and everyone in between, with the insights they need to make faster, more informed decisions. Whether you have a technical background in analytics and data science or not, decision intelligence allows the entire organization to understand and act on valuable insights.
We invite you to read our Mythbusting Business Intelligence vs. Decision Intelligence guidebook to learn more about this and many other widely held beliefs about data and analytics today. We break down the myths into categories related to data, people, and analytics. You will also see how, with a new approach, you can move past these limiting beliefs to take your analytics to the next level through decision intelligence. Get instant access to the Mythbusting guide here (no registration required).