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Big Data

4 Business Risks That Might Prevent Big Data ROI

September 9, 2016 by Paul Barsch

Evaluating risk vs. return of a big data initiative can be tricky, especially because the open source market is so active and fluid. Financial risk aside, business risk actually plays the bigger spoiler in properly estimating future cash flows and profitability of a big data project.[read more]

Beware Relying Too Much on Power Users

September 9, 2016 by Timo Elliott

Every analytics team knows that it’s important to align with the needs of the business. But there’s a hidden danger: relying too much on power users.[read more]

How To Become A Data-Driven Company

September 8, 2016 by Bill Hammond

The value of big data can’t be overstated for businesses nowadays. The collection and analysis of data has allowed thousands of businesses to make decisions that are driven by that data, lending their decisions more weight and credibility – and even predicting the future with machine-learning.[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]

The 7 Industries That Benefit Most From Big Data

September 6, 2016 by Larry Alton

Every business in the world needs data to thrive. Data is what tells you who your customers are and how they operate, and it’s what can guide you to new insights and new innovations. Generally, the more data you have, the more specific and accurate insights you’ll be able to generate, which is why big data has become such a powerful tool...[read more]

Five Reasons to NEVER Design a Survey without a Comment Field

September 2, 2016 by Tom Anderson

The good news is that most researchers do, in fact, understand and appreciate the value of comment data from open-ended questions.Indeed, many say feedback in consumers’ own words is indispensable.Among researchers we recently polled:70% would NEVER launch tracker OR even an ad-hoc (66%) survey without a comment field80% DO NOT agree...[read more]

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Big Data and IP Rights – Where Their Paths Meet

September 1, 2016 by Sean Mallon

Big data has been a game changer for almost every industry. While it has created many new opportunities for businesses to improve efficiency and provide higher quality services, it also raises some other concerns. One of the biggest challenges is protecting intellectual property rights (IP) in the era of big data. ...[read more]

Delivering Quality - Where it Counts, When it Counts

August 31, 2016 by Gayle Nixon

Considering a data quality program? What’s the best way to implement it? One of the decisions that organizations must make is where data quality (Trillium’s focus) fits within their overall approach to technology architecture and business solutions. Is data quality technology a “solution” unto itself or is it a service that is delivered...[read more]

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Smart Cities of the Future: An Innovation or Intrusion?

August 29, 2016 by Andrew Armstrong

Smart cities of the future offer the promise of less traffic, lower crime rates, stronger economies, and a reduced carbon footprint through the use of technology. This post looks at these positive benefits, in addition to potential concerns over security breaches and privacy issues that many fear from smart cities.[read more]

Tips for Exploring Financial Data with Business Intelligence

August 27, 2016 by Eran Levy

One of the main advantages modern business intelligence brings to the table is the ability to perform exploratory data analysis – i.e., testing new hypothesis leading to further data collection and analyses, beyond merely examining the present state of affairs. How does this apply to the realm of financial data analytics?From...[read more]

Four Key Steps For Enterprise IoT Security

August 26, 2016 by Timo Elliott

There’s been a lot of press recently about the problems of IoT security: easily hackable smart locks, as many as 100M Volkswagens at risk, vulnerable light bulbs, and even sex toys that spy on you.Here are some key concepts for the future of IoT security in the enterprise:First, IoT is going to save a lot of livesIt’s ...[read more]

A Recipe for Cooking with the Hadoop Ecosystem

August 26, 2016 by Dave Menninger

It’s part of my job to cover the ecosystem of Hadoop, the open source big data technology, but sometimes it makes my head spin. If this is not your primary job, how can you possibly keep up? I hope that a discussion of what I’ve found to be most important will help those who don’t have the time and energy to devote to this wide-ranging...[read more]

How to become a Data Driven Business

August 25, 2016 by Martin Doyle

Data is everywhere. All businesses have access to it. Yet, turning data into actionable insights and becoming a data-driven business can be difficult to achieve.What does data-driven mean?A data-driven business utilises data to inform every business decision they make. By analysing relevant data and evaluating it they are able to...[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]

Data Lakes: Safe Way to Swim in Big Data?

August 23, 2016 by Dave Menninger

It has been more than five years since James Dixon of Pentaho coined the term “data lake.” His original post suggests, “If you think of a data mart as a store of bottled water – cleansed and packaged and structured for easy consumption – the data lake is a large body of water in a more natural state.” The analogy is a simple one,...[read more]