Business Rules
Finding the Right Sponsor for Your Big Data Project
What's your Big Data strategy? / shutterstock
Earlier we discussed that big data should be a Strategy matter instead of an IT matter. Let’s dive a bit deeper into the reasoning behind this and find out who within the organization should be the sponsor for a big data strategy. It would be wise to have one high up in the organization.[read more]
Helpful or Creepy? Avoid Crossing the Line with Big Data
big data privacy / shutterstock
One of the most discussed concerns surrounding big data today is privacy. While many powerful analytics are possible with the detailed data that is now collected on each of us, the sensitive nature of much of that data requires rethinking data practices and applications.[read more]
Celebrate Corporate Compliance and Ethics Week!
Everybody put your party hats on, it’s time to celebrate! May 5-11 is Corporate Compliance and Ethics week, which means it’s the perfect time for taking stock of your business and finding some great ways to make compliance a culture you and your staff can celebrate year-round.[read more]
Warren Buffett, the Human Big Data Engine
stock market genius / shutterstock
The way Buffett operates is not unlike the best use cases for big data. Among other things, his success lies in his ability to make good decisions in accordance with quality benchmarks. This is the key to using big data well, and to business success in general.[read more]
CEOs: Hold Your Team Accountable for Data Analysis
Ron Johnson, the retail superstar behind the Apple store and Target’s turnaround, was hired to bring Penney back to profitability—and failed. It should be a lesson for us all. Company leaders—CEOs and boards—should hold decision-makers accountable for making data driven decisions.[read more]
Data by the Book: You Don't Know What You've Got Until It's Gone
Predictive analytics for retail (Image Source)
Here's a true business success story that sheds bright light on the awesomeness of big data. It substantiates the notion that you should store every last iota of data – because you don’t know every pattern [read: opportunity] that might be found or explored.[read more]
Evaluating Cloud Solutions: How to Create the Right Team for the Job
When your company is evaluating new cloud-based software solutions, it’s important to bring the right people to the table to drive the discussion. Evaluating a new data hosting solution requires an integrated approach. Here are some key tips for putting together the best team for the job.[read more]
Analytical Cultures: Nurture Yours Through Training
If we want to harvest good things from our organizations, we have to nurture the culture. We can do a number of things to influence the harvest. One of the biggest mistakes organizations make that prevent an analytic culture from taking hold is not investing in ongoing education/training.[read more]
Big Data Ethics: 4 Principles to Follow
big data ethics/shutterstock
It would be great if countries got together and came up with a broad-based, global set of privacy and ethical big data guidelines. But it will be a difficult and long process. Therefore, it might be easier to ‘crowd-source’ a set of big data privacy guidelines. Here's a start.[read more]
7 Key Terms for Negotiating Your Cloud Contract
Although cloud computing may be all about digitization and virtualization of your business data, the contract negotiation required for establishing a working relationship between two parties is still a completely human-based process. Here are 7 key terms to consider.[read more]
What’s Wrong with Today’s Planning and Budgeting
Integrated Business Planning (IBP) covers a different approach to planning and budgeting, which is designed to address many of the inherent defects in the way companies plan and budget. Recent benchmark research on integrated business planning illustrates some of these fundamental issues.[read more]
Data Governance: Managing Data as an Asset
The reason to manage data as a corporate asset is to ensure that business activities that require data are able to use and access data in a simple, uniform, consistent manner. Unfortunately, in the era of search engines, content indexing, data warehouses, and the Cloud, finding and acquiring data to support a new business need can be painful, time consuming, and expensive.[read more]
Data Science: Equality at Last!
The unexpected gender equality phenomenon in the Data World could be an opportunity: according to the survey, compensation for women is slightly higher than for men in data science and related fields. To put that in perspective, Census Bureau estimates put the real wage gender gap somewhere at the 5-7% range...[read more]
Why Context Matters - Forget Real-Time, Achieve Right-Time
The hype around big data, social media, and mobility has many folks imagining the real-time enterprise in the future of work, next generation customer experiences, matrix commerce, or the data to decisions journey. While real-time theoretically leads to quicker information and faster response times, the reality requires closer examination.[read more]
Decision Management versus Business Rules
We expanded from Business Rules Management (BRM) to Decision Management a while ago, but I still hear some confusion on what the difference really is... The big difference is how you think about them, and how you go about engaging with the automation and improvement of your decisions.[read more]
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“Mike, we are seeing an increase in businesses seeking specialized skills to help address challenges that arose with the era of big data. The HPCC Systems platform from LexisNexis helps to fill this gap by allowing data analysts themselves to own the complete data lifecycle. Designed by data scientists, ECL is a declarative programming language used to express data algorithms across the entire ...”
“Data variety is indeed both a challenge and an opportunity. I work for Gnip and we provide social data from a variety of sources and are constantly talking about what we call The Social Cocktail. We normalize the streams to help businesses overcome some of the challenges presented in this articles The Curse and Challenge of Data Variety section. Our customers are using multiple data sources ...”