Our June webinar from DATAVERSITY’S Data Insights & Analytics webinar series featured Malcolm Chisholm, First San Francisco Partners’ Chief Innovation Officer, along with our President John Ladley as moderator. This month’s topic: Data-Centric Development and why organizations that are truly data-driven are shifting their focus from process-centric development to a data-centric approach. At the beginning of the webinar, Malcolm compared…
As a lifelong learner, I’m always up for discovering new places, people and things. As a veteran marketer, the things are the thing I get excited about — especially things related to digital marketing (my focus area). Starting my journey into the world of data management initially left me dazed and confused, but more than one year in I’ve learned…
Cultural anthropologist, author and speaker Margaret Mead once said, “Never doubt that a small group of thoughtful, committed citizens can change the world; indeed, it’s the only thing that ever has.” Now, a small group of leaders from the information management industry — including First San Francisco Partners’ CEO and Founder Kelle O’Neal and our President and Chief Delivery Officer…
For many people, learning about what others do for a living makes for an interesting conversation — and hearing someone with a passion for their career can be truly inspiring. Our May 4 Data Insights & Analytics webinar audience had the opportunity to learn about the data scientist role, ask questions and be inspired by an engaging conversation with Chief…
By definition, Big Data means a large volume of data. When it comes to the topic of data quality, you may hear that large volumes of data can, in effect, dampen out any data inconsistency. This could lead to a line of thinking that the data quality of Big Data isn’t as important. While conceptually this may be accurate, in…
Ten years ago this month, First San Francisco Partners (FSFP) came into being, opening our information management consulting services’ doors. The FSFP team and I are celebrating this milestone and, as they say, taking a walk down memory lane. In many ways, it seems like ages ago vs. a decade ago — but in other ways, it feels like only…
We kicked off our April 6 Data Insights & Analytics webinar with this polling question: “Where is your organization in its readiness to develop a formal Big Data and analytics architecture?” Our Building a Flexible and Scalable Analytics Architecture audience, which included data management professionals from around the world, could choose one of these answers: We have no plans or…
Freakonomics. Serial. This American Life. Did you know these are some of the hottest podcasts? Did you know there are popular podcasts for data management professionals? While they may not be as well-known as Missing Richard Simmons (a current hit show), there’s a growing number of recurring audio programs for people who enjoy all things data. But first, some fun…
Our webinar co-hosts Kelle O’Neal and John Ladley kicked off the call with an explanation of why we use statistical analyses. Simply put, it’s because we have a question or problem to figure out that we think data can solve. We may find ourselves with too much data and too little time to analyze all of it — or we…
DATAVERSITY recently declared March as Data Education Month. We also support the idea of giving data management professionals access to educational tools, training and content. That’s why we’re featuring the Data Governance training course we created with DATAVERSITY — and offering a 25% discount when you purchase it this month.
Big Data technological breakthroughs are enabling the realization of many benefits for companies, consumers, job seekers, consultants and technology firms. Given Big Data’s benefits and the ability to process large amounts of all types of data at a fast speed, it is easy to think you should integrate all your data into this environment. But just because we can … should we? … and an additional question is, can we?
This is the second article in a two-part series on data-centric projects and our Data-Centric Development Life Cycle (DCLC) methodology. (Read part one.) DCLC is an iterative methodology for data-centric projects that brings data problems and opportunities to the forefront before development begins — rather than during testing or after production implementation.
Are you Team Data Lake or Team Data Warehouse? Which one does your organization have and actively use? Are there plans to enhance (i.e., improve, streamline and/or upgrade or replace) your data repository this year? If you’re interested in getting First San Francisco Partners’ take on the “best” solution for your organization, we hope you attended our February 2 Data Insights & Analytics (DIA) webinar.
I’ve been a data governance practitioner and consultant working with clients for more than 17 years now. I’m growing more concerned about something and wonder if you’re seeing it, too. It’s the lack of goals, measures and incentives for the people responsible for key data governance roles. Data governance, as a practice, is no longer a new concept. We’ve been at this for some time now … so, why are we still in a new-concept state?