Modern data architecture.

A new data-driven architecture that promotes collaboration, agility, and speed.

Deploy a data fabric approach to quickly unify, govern and secure your data for analytics at scale—on-premises or in the cloud.

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Impactful decisions. Powered by data.

Capabilities

Collect, store, process, and analyze data to extract valuable business insights. We offer a range of data visualization tools that help you visualize data and share insights with stakeholders.

Integration

Deployment

Analytics

Optimization

What we think

How Does Information Overload Affect Your Business & How to Stop It?

Last year I wrote about why booking too far in advance can…

It seems as if everyone in the street is looking at their phone these days. There is a lot of interesting things going on if only you just look up. Taken in China - 2018.

Shadow IT: definition, risks, and measures to prevent it

Last year I wrote about why booking too far in advance can…

The 6 big things we’ve learned about hybrid work so far

Last year I wrote about why booking too far in advance can…

MORE INSIGHTS

How Does Information Overload Affect Your Business & How to Stop It?

Last year I wrote about why booking too far in advance can…

Shadow IT: definition, risks, and measures to prevent it

Last year I wrote about why booking too far in advance can…

The 6 big things we’ve learned about hybrid work so far

Last year I wrote about why booking too far in advance can…

Top 6 Essentials Modern Workplace Technology

Last year I wrote about why booking too far in advance can…

IT retention: Top 8 Strategies for retaining talent [CIO’s role]

Last year I wrote about why booking too far in advance can…

Technologies & Partners

We seamlessly integrate with a variety of ecosystem partners and platforms to enable greater flexibility and speed to results.

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General Questions

Types of analytics: Prescriptive, Predictive, Diagnostic, Descriptive, and Cognitive Analytics.

  • Prescriptive:  make decisions about what actions to take in the future.
  • Predictive:  make predictions about what will happen in the future.
  • Diagnostic:  diagnose problems and identify root causes.
  • Descriptive: describe past events.
  • Cognitive: learn and understand new things.

In Retail: Data analytics can be used to track customer behavior. This includes what products they purchase, how often they purchase them, and when they purchase them. This information can be used to improve the shopping experience.  For example by stocking more of the products that customers are interested in.