article thumbnail

Data science and project management methodologies: What you need to know

Dataconomy

One of the most significant challenges present in project management is the variety of ways that a project can be managed and handled. When contemporary businesses are increasingly driven by data, project managers must understand how the intersection between team members, data, and strategies can come together.

article thumbnail

Big Data Project Management: What’s In & What’s Out?

CTOvision

Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Here's a simple distinction: A project typically has a beginning, middle, and end. A program is something ongoing and relatively permanent. Discussion.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Big Data Project Management: Data Must Flow!

CTOvision

I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. Many if not most organizations still have a lot to learn when it comes to making use of emerging big data analysis techniques.

article thumbnail

The Tip of the Spear II: Connecting Big Data Project Management with Enterprise Data Strategy

CTOvision

If data analysis is Big Data’s "tip of the spear" when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target.”. Data sharing. Data standards. Data analysis.

article thumbnail

Thinking About “Data Program Governance”

CTOvision

One phrase in regular rotation in my elevator pitch is “data program governance." The individual words are straightforward: Data includes any kind of data such as numeric, financial, textual, image, or meta. Program means an organized set of activities designed to accomplish a defined set of objectives.

article thumbnail

How Important Is “Perfect Data” To Data Analytics Programs?

CTOvision

Back in 2014 I published a guest post on the Open Data Institute's web site titled How important is the quality of open data? database managers have always had to concern themselves with standards, data cleaning, corrections, and manual versus automated approaches to data quality control.

article thumbnail

What Kind of Management Structure Is Needed to Govern a Data Analytics Program?

CTOvision

When thinking about developing a new data analytics program, two questions you need to address are: What services do you need to provide? Partly as a result of this, the data associated with these processes and systems may need to be organized and managed somewhat differently from what you’re doing now.