What is Enterprise Analytics?
Enterprise Analytics is the set of processes by which enterprises derive actionable information for available data.
Enterprise Analytics Enablement
Enterprise analytics platforms have enabled a company’s IT strategy to move forward supported by accurate data modeling. Digital transformation initiatives have been similarly enabled by the ability to provide machine learning (ML) algorithms with larger data sets thereby increasing accuracy in the results. With the core capabilities of Enterprise Analytics proven, the cost to enhance an enterprise’s analytics processes has dropped considerably. Low cost storage, scalable computing architectures, integration tools and algorithm libraries have all reduced barriers to the deployment of modern Enterprise Analytics.
The infrastructure of Modern Enterprise analytics is decoupled and scalable. Platforms built on the fundamental components of Kubernetes or Docker containers allow the analytics platform to scale compute on demand efficiently. These containers can run Hadoop, Spark and other real-time analytics engines blazingly fast. When backed by object storage, these container architectures eliminate scalability restrictions of the past.
Object storage allows polyglot data (structured and unstructured) to land in the same platform for analysis. Modern enterprise analytics demands this flexibility in order to ensure that the greatest amount of data is available for insight and decision support. This storage is inexpensive and scales to the needs of most enterprise analytics requirements. Finally, integrating to these modern enterprise analytics architectures and applying intelligence to them has never been easier.
Data Integration for Enterprise Analytics
Integration tools for providing universal access to analytics provide both raw and processed data to the enterprise analytics engines. Apache Kafka provides a data hub allowing any data to be presented for analysis. Leading CDC and ETL/ELT tools provide the ability to link data in real time and provide needed transformations to the data based on business rule. The best of these tools link directly with machine learning (ML) algorithms to provide analysis of data as it is being ingested.
Unlocking data for Enterprise Analytics
Machine Learning (ML) and Artificial Intelligence (AI) provide the Philosopher’s Stone to the alchemy of modern analytics. With many commercial and open source libraries available, unleashing the power of enterprise data is within the reach of most companies. Algorithmic solutions for data cleansing, regression, dimensionality and more are readily available and can be incorporated into your Enterprise Analytics platform to unlock incredible value.
Turn your data into information and your information into enterprise value. Stand up a modern enterprise analytics platform and begin connecting data sources to it for analysis. As you become more comfortable with the capabilities at your fingertips, add more data and realize the true value of enterprise analytics.