According to IBM, to gain the competitive advantage that big data holds, you need to infuse analytics everywhere, make speed a differentiator, and exploit value in all types of data. This requires an infrastructure that can manage and process exploding volumes of structured and unstructured data—in motion as well as at rest—and protect data privacy and security. Big data technology must support search, development, governance and analytics services for all data types—from transaction and application data to machine and sensor data to social, image and geospatial data, and more.
Your infrastructure must capitalize on real-time information flowing through your organization. It must be optimized for analytics to respond dynamically—with automated business processes, better agility and improved economics—to the increasing demands of big data. To protect your reputation and brand, your platform must comprise stringent policies and practices around privacy and data protection, safeguarding all of the data and insights on which your business relies. The right platform instills trust, so you can act with confidence. It controls how information is created, shared, cleansed, consolidated, protected, maintained, retired and integrated within your enterprise.
To achieve economies and efficiencies, you must run certain analytics close to the data, while it is in motion. But for data you elect to store, your infrastructure must embody a defensible disposal strategy that reduces the run rate of storage, legal expense and risk. As you infuse analytics into your organization, data security becomes more central to your competitive advantage profile. Your infrastructure must have strong security measures built in to guard your organization against internal and external threats. To relieve the pressure that big data is placing on your IT infrastructure, you can host big data and analytics solutions on the cloud. Achieve the scalability, flexibility, expandability and economics that will provide competitive advantage into the future.
Do you know where to find the Big Data in your organization? The following infographic by Kapow can help you locate and identify the various types of Big Data in your organization.
Common categories of pools of data are archives, documents, media, business apps, social media, public Web, data storage, machine log data, and sensor data. The infographic also lists various data sources or types that make up those categories.
For example, archives might consist of scanned documents, statements, insurance forms, medical records, customer correspondence, paper archives, and “print stream files that contain original systems of record between organizations and their customers,” states Kapow.
To find out more about the various kinds of Big Data that might be available to your organization, check out the following infographic: