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Data Visualization

6 Key Capabilities an Embeddable Analytics Software Should Deliver

April 26, 2017 by Jordan Zenko

Business intelligence (BI), analytics, and data visualization software is becoming a key component of any organization looking to take more data-driven actions. The acquisition of a BI tool that allows for full control, visual exploration, preparation and transformation of data so that organizations can deliver it in the most actionable way is highly coveted. To help with your search, we’ve identified 6 key capabilities an embeddable analytics software should deliver in order to provide the most value within your application(s) and to your customers who will ultimately be using its functionalities.[read more]

Workforce Planning and HR Analytics

April 7, 2017 by Sarah Smith

There's been quite a lot of buzz regarding workforce analytics and its benefit to companies of every kind. The real challenge lies in converting disparate types of "people data" into strategies your company can actually utilize.[read more]

Telling Your Story: How Data Visualization Can Propel Your Business

March 6, 2017 by Larry Alton

Data visualization is leading the way when it comes to introducing business narrative into your larger corporate strategy.[read more]

The Enterprise Graph – From Connections To Customer Insights

March 3, 2017 by Peter Perera

Know more, sell more. That’s the bottom-line when looking to introduce graph databases into the enterprise.[read more]

Buyers Beware: Data Visualization is Not Data Analytics

December 13, 2016 by Eran Levy

The term Business Intelligence solution can be a deceiving one. Many software solutions that call themselves BI can actually only offer you half of what you need.Here it’s important to make the distinction between two types of business analysis and intelligence tools: end-to-end solutions and ones that are merely front-end. An end-to-end...[read more]

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The Analytics Software Learning Curve – How Steep Should You Go?

November 10, 2016 by Paco Darcey

There are a few different, and sometimes opposing forces in analytics software which make the process of evaluating, purchasing, implementing and using BI software products a complex process. The rapid pace of unstructured and structured data growth in many companies requires a reporting system which is sophisticated and powerful for:...[read more]

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Want to Fully Leverage Data? Change the Way You Operate

November 9, 2016 by Rado Kotorov

We’re on the edge of a paradigm shift in the way organizations operate–and rightfully so. New technologies are developed daily and will only contribute to even larger volumes of information. To take advantage of the value data holds, enterprises need different skill-sets, decision-making structures and a new lens for evaluating business challenges.[read more]

Expanding the Data Stream

November 7, 2016 by Ron Bisio

A skillful blend of people and technology can provide valuable data for GIS[read more]

A Quick Fix for Precise Positions?

October 25, 2016 by Ron Bisio

A family of new tools helps solutions providers leverage positioning technologies to create customized, high-value solutions.[read more]

Demystifying Data Warehouses, Data Lakes and Data Marts

October 12, 2016 by Eran Levy

As data and analytics become a more integral part of business processes in an organization, so the non-DBAs among us might start to feel lost in a sea of technical terms which are frequently thrown around by technical teams.[read more]

Any Colo(u)r You Like…

October 7, 2016 by Mark Bradbourne

After Matt Francis’ “50 Shades of Data” at #Data15 I really got to thinking about color, it’s usage and the planning of pallets. So I thought that I would share some of the tools that I use for testing, planning and plotting color for use in Tableau.One of my absolute favorite tools for selecting color pallets is Paletton. Paletton...[read more]

Geospatial Data On-Demand

September 22, 2016 by Ron Bisio

Spatial data and building information modeling (BIM) bring new tools for data visualuzation and analysis to building construction and operations. Information is now able to be shared across design teams, contractors and facility managers in real-time.[read more]

A Deep Dive in Big Data

September 6, 2016 by Ron Bisio

Geospatial big data can include information from an assortment of sensors and data collection methods. Points and features with their associated attributes can be gathered using handheld or survey-grade GNSS, dedicated field computers or even smartphones. These data sets are small compared to other techniques, but they provide very high levels of precision and detail and can be updated rapidly. Mobile mapping systems combine lidar, imaging, GNSS and other sensors to capture large quantities of 3D information.[read more]

7 Data Modeling Mistakes that Will Sink your Analysis

August 24, 2016 by Eran Levy

You have a goal. You want to gain actionable insights from all of this data that you have been collecting. So, how do you make sure to model your data so that you can actually gain these insights and answer the business questions that you have? You plan. When the planning stage is skimped on or skipped altogether, the result is horrible...[read more]

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This is Why UX Design and Big Data Need Each Other

August 16, 2016 by Ellie Martin

In the digital age, there’s been a relentless decline in businesses that run on instinct. These days, it seems that all businesses talk about is “Big Data” and how to analyze huge amounts of information to boost their business. The entrepreneur is no longer a pioneer, but a researcher. Why take a guess when you can analyze the data...[read more]