frustrated data scientist 5 keys to better data modeling data model management data analysis tips and tricks

5 Keys to Better Data Model Management

By | Self-Service Analytics, Tips and Tricks | No Comments
Data modeling and data model management is the process of documenting a complex software system design as a diagram, using text and symbols to represent data flow. Diagramming data in such a way ensures the efficient use of data.

Data modeling is an important skill for data scientists or other users working with data analysis. Data modeling plays a vital role in the business environment, so you should keep in mind these five keys to successful data model management. Read More

embedded analytics search on google smartphone

Embedded Analytics Software – Worth the Hype?

By | Embedded Analytics | No Comments

Harnessing the power of data is about more than dashboards. With the right BI tools, many departments and individuals within your organization can benefit from the insights of your data, but they may not want to deal with dashboards. This is where embedded analytics software comes into play.

Embedded analytics can refer to many different tools, but the overarching idea is identifying the right data points and putting them in the hands of the right people when they need them most.

So, is the idea of embedding analytics worth the hype? Read More

What’s Changing the Enterprise? The Power of Analytics

By | Business, For Developers, IT and Engineering, The Cloud

Bubble chart data graphWhat major trends are changing the nature of the enterprise environment?

This question is constantly floated among technologists and industry experts, always looking ahead to what the workplace will look like in the next year, five years, and so on. Ars Technica recently made its definitive list, including:

  1. Moving mobile beyond the poor PC substitute
  2. The transformation of the “app”
  3. The social enterprise
  4. The IT department as integrator

We recently discussed the changing role of IT on the blog, and the other points listed are hot topics that come up often in tech industry speculation. The merits and reasoning behind each are sound.

Which do you think will have the biggest impact on the enterprise?

Predicting the future is hard, especially when you have an installed base to consider. But it’s not hard to identify the economic, technological, and cultural forces that are converging right now to shape the future of enterprise IT in the short term. We’re not entering a “post-PC” era in IT—we’re entering an era where the device we use to access applications and information is almost irrelevant. Nearly everything we do as employees or customers will be instrumented, analyzed, and aggregated.

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