You (probably) don’t need Machine Learning

Statistically speaking, you and/or your company really don’t need machine learning. By ‘statistically speaking’, I mean that most companies today have no absolutely no need for machine learning (ML). The majority of problems that companies want to throw at machine learning are fairly straightforward problems be ‘solved’ with a form of regression.  They may not be the simple […]

Where are we in the big data lifecycle?

Pricewaterhouse Coopers (PwC) and Iron Mountain just released a report titled “How organizations can unlock value and insight from the information they hold“. Along with the report, they’ve released an infographic that I thought worth sharing but before the infographic, let me share a few of the highlights and offer some opinion on the results. A […]

Data Ownership within an Organization

Recently, I was having a conversation with an IT VP about data management, data access, reporting and analytical approaches to the data stored within the organization.  The conversation was a long and frustrating one. I started working with this company to help them open up access to all their data repositories to allow people within the company […]

Don’t use your data this way

Last week, I wrote a post titled Big Data Starts with Data Management. In that post, I wrote: Starting with data management will help mitigate these risks since a good data management approach allows organizations to keep data quality in mind from the beginning of a big data project. Data management is a key aspect […]

Big Data Starts with Data Management

Over on the Obsessive-Compulsive Data Quality blog, Jim Harris recently wrote:  While organizations of all sizes are rightfully excited about the business potential of using big data, this excitement needs to be balanced by acknowledging the business risks associated with not governing the ways big data is used. Well said. Many organizations have been caught […]