Data + Intelligence

I spend a bit of time data wrangling. I try to pay mind to what the predictive analytic technique needs. Likewise, it does things on its own too. Then again, when interpreting results, I think on it again. Worse, when I try to compare models or create an ensemble, I really need to know. So, […]

Data ethics and security have been around a long time – as long as data. Constantly evolving. But, continued tech advancement has made a profound impact. So, data security and data ethics is more important than ever. 1. Magnified Relevance Tech has enabled an exponential increase of data. We know this. The more data, the […]

This is the first post in a 5-part series on hidden attribution flaws marketers should watch out for in their marketing strategy. How clean is the data in your marketing automation platform? It is likely you cleaned at some point, but are you cleaning it regularly?  Data changes instantly and consistently, and if you don’t […]

Thrilling our clients with innovation and impact – it’s not just rhetoric. This belief is instrumental for our clients’ success. In 2018, we introduced our Chief Strategists, who provide vision and leadership to help our clients remain competitive. Get to know each of our strategists as they share unique insights on their areas of expertise. Understanding […]

The evolution of expressing our machine instruction. Let’s get there together. Machine Instruction 1.0 In the past, we taught our computers what to do by expressing our desires with exact instruction. Classic computer programming that listed step by step instructions. We taught our machines how to behave. Arguably, even legacy artificial intelligence worked this way. Of course, this way of directing […]

OLAP and Hadoop are not the same. OLAP is a technology to perform multi-dimensional analytics like reporting and data mining. It has been around since 1970. Hadoop is a technology to perform massive computation on large data. Around since 2002. They can be used together but there are differences when choosing between using Hadoop/MapReduce data […]

Many enterprises set out with good intentions to transform their organizations with AI, but fail to deliver without a strong AI Strategy in place.  A game plan that overlooks business requirements and scalability often sets AI journeys up for disappointment and turn leadership off to future investments. But you don’t have to let your past […]

I like seeing patterns across domains. Consider machine learning models and employees. Both models and people can be appraised. What is an employee appraisal? Employee “performance appraisal has three basic functions: (1) to provide adequate feedback to each person on his or her performance; (2) to serve as a basis for modifying or changing behavior […]

New Features The new features that we have judged to have the greatest potential impact to our customers are covered below. As with any new version, there are too many new features to cover here.  If you see something that interests you and would like to explore how it might help you please contact us […]

Previously, I discussed the components needed to design a data governance strategy. This post will describe in detail, how to initiate the data governance program. The first step in implementing an enterprise data governance program is conducting a comprehensive assessment of all data related policies, processes, standards, repositories, and usage. Determining the major pain points […]

What killed the cat? When I was growing up I’d occasionally hear the phrase “curiosity killed the cat” when I’d ask too many questions.  I haven’t heard that phrase in a long time, and I’m pretty sure chasing that mouse into the street is what killed the cat.  But isn’t it strange that there is […]

The 1990s Ah, yes, the 90s.  I can hear the sweet, gentle pinging of my external, dial-up modem as I write this. For those of you that were not in the workforce in the 90s I will describe them a little bit.  Information was a highly guarded commodity.  Decisions were made at the top of […]