A data catalog is a collection of metadata that enables data users to find what they need in one place. Learn how it improves efficiency & data analysis.
Big data refers to large, diverse data sets made up of structured, unstructured and semi-structured data. This data is generated continuously and always growing in size, which makes it too high in volume, complexity and speed to be processed by traditional data management systems. Big data is...
Data center virtualization is the process of creating a modern data center that is highly scalable, available and secure. With data center virtualization products that are software defined and highly automated, you can increase IT agility and create a se
That’s why short-range wireless communication technologies like Wi-Fi and Bluetooth have been widely adopted in the manufacturing industry in the past few years. However, they’re not suitable for scenarios that are sensitive to packet loss, data silos, and security risks. 5G is th...
Point solutions such as SD-WAN, NGFW, SWG, and VPN address specific networking and security requirements. The need to buy, size, scale, and maintain each solution separately, makes IT infrastructure complex and costly. SASE is a transformational alternative to those legacy technological silos. It...
How to Democratize Data and Empower Teams for Success Blog post Culture Spotlight: Building Inclusive Teams with Varun Sharma, Manager of Customer Success Blog post Asking Better Questions Blog post Learning How to “See” Data Blog post
Unlock the value of enterprise data with IBM Consulting®, building an insight-driven organization that delivers business advantage. Discover analytics services Take the next step Design a data strategy that eliminates data silos, reduces complexity and improves data quality for exceptional customer and...
Company culture is often the culprit. A culture that incentivizes different divisions to operate independently, or even in a competitive manner, can foster the development of data silos. Data silos also frequently result from acquisitions, when companies bring in their own legacy systems and operatio...
Data analytics as a practice is focused on using tools and techniques to explore and analyze data in real-time or near-real-time to uncover hidden patterns, correlations, and trends. The goal is predictive and prescriptive analysis, using advanced techniques to make accurate, dynamic, and forwar...
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