Tag: Use Cases

Unleash the power of data with a modern data strategy

I stressed the need for a modern data architecture (MDA) to underpin the next generation of the cognitive enterprise, fully harness data using the latest technologies, and sustain a platform-centric business model that supports people, process and technology optimized around business goals. This MDA journey starts with a holistic, business-driven modern data strategy that will … Continue reading Unleash the power of data with a modern data strategy

Difference between Big Data and Cloud Computing

Big Data Big data simply represents huge sets of data, both structured and unstructured, that can be further processed to extract information. Huge volumes of data are being generated over the internet every second and one machine is not enough to handle all the data which comes in all kinds of formats. It provides keen … Continue reading Difference between Big Data and Cloud Computing

3 ways IBM Cloud Private for Data can accelerate your AI and machine learning journey

The last two weeks have been really exciting to be part of Big Data and Analytics at IBM. We have just launched IBM Cloud Private for Data, an integrated data science, data engineering and app building platform. Our broader offering, IBM Cloud Private is helping our clients and partners to harness everything cloud has to … Continue reading 3 ways IBM Cloud Private for Data can accelerate your AI and machine learning journey

Analyze clickstream data with IBM Db2 EventStore for customer insights

In this blog, we will look at analyzing the Clickstream data with IBM Db2 EventStore to derive timely insights on interests of retail customers. Typically, ingesting streaming event data, persisting with low latency and analyzing it along with historical event data requires integrating multiple analytic systems. IBM Db2 EventStore is purpose built to simplify the … Continue reading Analyze clickstream data with IBM Db2 EventStore for customer insights

Data visualization playbook: Determining the right level of detail

One of the most important steps for creating data visualizations is selecting which aspects, features or dimensions of the data to present—in other words, letting the data dictate the visualization. Unlike school assignments, data scientists and professionals rarely receive project that provides the same clear guidance they received as children. There is no longer a … Continue reading Data visualization playbook: Determining the right level of detail

Big Data: The Data Variety Discussion

Big data is all about Velocity, Variety and Volume, and the greatest of these is Variety. At least it causes the greatest misunderstanding. Variety, in this context, alludes to the wide variety of data sources and formats that may contain insights to help organizations to make better decisions. Everything from our existing database records of … Continue reading Big Data: The Data Variety Discussion