Data analytics welcomes automation and autonomy
Millions of manually prepared spreadsheets are used for diverse industries, including finance, science, and economics. Yet, according to ZDNet, 90% of all spreadsheets have errors that affect their results. Cut-and-paste issues, hidden cells, and other errors have cost businesses millions of dollars.
Traditional analytics solutions and processes can also cause delays in providing businesses with the insights needed to make timely decisions. Often, data is collected from multiple applications and platforms, requiring a corporate department to: create the extract, transform, and load (ETL), the connections, and the interfaces; transfer data from one database to another; look at the data quality; and enter the data into spreadsheets. All of these tasks can take precious time and resources.
In addition, with traditional solutions and processes, you usually need to be an expert in IT or analytics to conduct the analysis. It is not a self-service experience for the busy executive who requires end-of-month analytics. And that means waiting for the IT or analytics expert to provide what’s needed.
Automating analytics processes and putting the processes in the cloud can be a game changer for businesses of all sizes and in all industries. For example, a modern analytics solution with embedded AI and ML and an integrated autonomous data warehouse that runs in a self-securing, self-patching, self-tuning autonomous cloud.
When you’re working with a modern analytics solution, everything can be automated. Identify a few parameters of what you want examined, which model to apply, and which column you want to predict, and then the solution will take over. Data can be ingested from multiple applications, platforms, and clouds. It can be gathered, cleaned, prepared, transformed, and analyzed for predictions—all automatically, accelerating processing and reducing the chance of human-created errors.
Choose Oracle and you’ll get a single, integrated platform that combines Oracle Analytics and Oracle Autonomous Database. It’s a simple, repeatable solution with the best elements of analytics and powerful autonomous data services. That means obstacles are removed, data is brought together into a single source of truth, and highly actionable insights are unlocked—fast—which makes it an ideal data analytics solution to guide strategic business decisions.