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Data Visualization

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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]

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Five Ways Self-Service Data Prep Empowers Excel Users

August 5, 2016 by Jon Pilkington

Microsoft Excel is one of the most widely used business intelligence and reporting tools. More than just a spreadsheet, Excel allows users to collect and integrate data for critical analysis and reporting. It’s easy to use, readily available as part of the Microsoft Office solution suite and provides users with the ability to perform...[read more]

Applying BIM to Design of Sites and Structures

August 3, 2016 by Ron Bisio

The term BIM, which comes from “Building Information Modeling,” can be a little misleading. It’s not just about buildings; BIM is the process that enables the efficient and quality design, construction and operation of a structure such as a building, bridge or highway. The core BIM principles and concepts, which were pioneered for the construction and management of buildings, are being applied in heavy civil construction, utilities, energy and more. Today, BIM is an emerging technology that is transforming the way we build. The use of 3-dimensional models and real-time management of processes and workflows delivers the efficiency that today’s clients demand.[read more]

Infographic: The Relationship between Business Professionals and KPIs

July 29, 2016 by Eran Levy

In preparation for launching our BI Virtually Everywhere program, we ran a quick survey (comprised mostly of participants from within our user base) aiming to understand how various business professionals interact with their KPIs, as well as how they would like to consume data in the future. The results are summarized in this infographic...[read more]

How to Segment Your Customer Database (Frequent Flyer Edition)

July 1, 2016 by Mark Ross-Smith

Step by step guide on implementing a customer segmentation solution - without paying millions of dollars for an enterprise platform.Customer micro-segmentation is without a doubt one of the most powerful methods for extracting value from your database, and a must for every frequent flyer loyalty program.  Segmentation...[read more]

Big data analyst applications and data recovery

June 27, 2016 by Faizan Raza

When it comes to data recoverythe current best practice employed by any organization is based on two key factors; time and selectivity.  In short, IT departments respond to a disaster recovery situation as swiftly as they can to restore the most business-critical operational data they can and, at present, this does not include big...[read more]