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Modeling

BI Case Study: Building an Open Data Portal

July 19, 2016 by Eran Levy
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This article was written by Paul Murphy, IT Program Leader at Co-operatives UK, about his experience using business intelligence technology to centralize years of messy historical data and create an open, explorable web portal. Do you have an interesting business intelligence case study to share? Email us at [email protected] one...[read more]

Leveraging Analytics to Improve Enterprise Performance Management

July 18, 2016 by John O'Rourke

The key to operating a thriving enterprise is continuously managing performance.Measuring and monitoring business performance relies on a process of defining clear objectives, planning and budgeting, and evaluating progress at established intervals to ensure the company is keeping pace with their outlined objectives.In doing so,...[read more]

How Airlines Measure Loyalty Using Big Data & Analytics

July 5, 2016 by Mark Ross-Smith

An ongoing debate in the loyalty world is what type of customer is more important? One that spends big on airline tickets or one that filters millions of credit card miles through the banks?[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]

How to Personalize the Retail Experience with Data

March 23, 2016 by Larisa Bedgood

How to Personalize the Retail Experience with DataLeading retailers have made great strides in becoming omni-channel, multi-channel marketing experts. Reaching consumers across multiple channels, having a strong digital presence, engaging on social platforms, and embracing mobile continue to be key themes in targeting today’s shopper....[read more]

Is this data alive through deep learning and intelligence?

March 21, 2016 by Bruce Robbins

I read a description of deep learning as, 'a powerful set of techniques for learning in neural networks', it also described neural networks as 'a beautiful biologically-inspired programming paradigm which enables a computer to learn from observational data'. Both are tools that can be applied to data to do all kinds of useful things such...[read more]

Long Term Financial Planning with Financial Data Analytics

January 19, 2016 by Sarah Smith

Big data is a statement that covers all information processing and gathering on a macro scale. With so much data flowing, a common thread is needed for actionable insights that are based on inputs. For online businesses, user behavior analytics and marketing are two sources of information, which trigger the need for taking action. Without efficient data optimization, there is poor use of money. It is due to the poor retention and lost conversations. Big data without action and insights becomes numbers without any real purpose. Most international online companies use big data to make improvements on customer, conversion marketing and website designs.[read more]

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5 Innovative and Diverse Uses of Big Data

December 22, 2015 by Daniel Matthews
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As we move into 2016, it’s worth looking at how people are using big data to do what they do. It’s exciting. From these real-life cases you can learn a lot about what big data is up to—you’re getting a peek into the workings of companies who are using this stuff in real-time, in different ways. From this peek, you can draw some conclusions about trends for 2016, about how industries are going to be using big data.[read more]

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How to Overcome BYOD Security Challenges

December 9, 2015 by Ryan Kh

Bring your own device is one of the fantastic ways businesses can cut costs at no real impact to their employees. However, there are challenges, specifically ones related to security. We’ve compiled a list of them and also how to overcome the most common and harmful ones.[read more]

3 Effortless Tactics to Be a Data Science Success in Business

December 4, 2015 by Damian Mingle

Do not view the Data Science project plan as training wheels for a junior Data Scientist who is new to working with business, but rather what a skilled Data Scientist will review each time his or her team begins a new task within the Data Science project.[read more]

Top 6 Data Modeling Tools

November 27, 2015 by Zygimantas Jacikevicius

Businesses these days rely heavily on data to make important decisions on a day-to-day basis. The flow of correct and consistent data is of great importance for business users to make quick and well informed decisions. The flow and relationships of data need to be defined and structured to ensure best results.[read more]

Introduction to Data Lineage

November 11, 2015 by Zygimantas Jacikevicius

Sophisticated modern businesses like banks and insurers are data rich. Data is fundamental to their business effectiveness and efficiency. However, data is not just relevant to the business processes that create it. Many classes of data are essential outside of their main business purpose. This may be for internal reporting and analysis, for use by other applications or for exchange with third parties.[read more]

Creating Value for Business: 2 Data Science Questions You Must Ask

October 14, 2015 by Damian Mingle
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Most individuals will recognize balance as a principle of art, but the notion of creating a sense of equilibrium between the business and the Data Scientist is just as foundational in today’s insight economy. To not cultivate this balance is to invite ruin into the organization.[read more]

5 Unbelievable Ways You Can Be a Better Data Scientist in Business

October 8, 2015 by Damian Mingle

Most Data Scientists like to get their hands dirty with data just as quickly as possible, but it is important to practice some delayed gratification and first dig into the details of the Data Science project before you start modeling. A Data Scientist who has the business in mind will attempt to determine what factors might get in the way of the business experiencing success with the project.[read more]

From Master Data to Master Graph

October 6, 2015 by Peter Perera
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Today’s CRM and Master Data Management (MDM) technologies don’t enable complete customer knowledge. In fact, they unwittingly turn customer focus into customer tunnel vision. We need an epistemic graph database - a context-aware master graph - to make possible richer, fuller customer stories and expanded 360-degree views for total awareness.[read more]