Tag Archive for data science

Starting Small with Big Data

start small big data x300

by Jelani Harper The inhibitors of Big Data initiatives are abundant and include: Upfront capital: There is a general perception that the infrastructure to apply Big Data and options for advanced analytics are costly, and that such initiatives are widely reserved for large organizations instead of small- and mid-sized ones. Technological gaps: Costs notwithstanding, many…

Tackling Data Science Inefficiencies by Defining & Reducing Waste

Garbage

by Angela Guess Writing for TechRepublic, John Weathington recently noted, “Because of my background and experience in Lean Six Sigma, I’m often called in to lean out a process, which means to remove as much waste as possible. However, leaders are usually puzzled when I lean out a data science process, because it doesn’t align…

Data Scientists Say Messy Data and Lack of Time are Top Career Obstacles

cf

by Angela Guess According to a new article out of the company, “CrowdFlower (www.crowdflower.com), the leading data enrichment platform for data scientists, today released its 2015 Data Scientist Report (http://goo.gl/7LC5Ug). Findings revealed that data scientists saw messy, disorganized data as a major hurdle preventing them from doing what they find most interesting in their jobs:…

Demand for Data Scientists Extends Far Beyond Silicon Valley

Silicon Valley Financial Center

by Angela Guess Jennifer Foreshew of The Australian recently wrote, “Hiring specialists are scouting outside traditional IT fields for data scientists that have the higher level analytical skills that come from MA or PhD studies in mathematics and engineering, and in human and animal sciences. Harvey Nash managing director Bridget Gray said a data scientist…

How to Be a Better Data Scientist

Empty Box

by Angela Guess Eran Levy of Smart Data Collective recently wrote, “In 2012, Harvard Business Review cited data scientist as the sexiest job of the 21st century. Just two months ago LinkedIn shared the “25 Hottest Skills that Got People Hired in 2014” – guess what type of workers possessed these skills? This attention has…

How to Build Your Data Science Team

Teamwork and team spirit

by Angela Guess Rodrigo Rivera recently wrote for Venture Beat, “A factor that is frequently overlooked when setting up a data team is the selection of the technology stack. Often, this decision is delegated to the first hire in data science. Due to a lack of information about the right technologies, those in charge avoid…

The Immediate Future of Data Management

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by Jelani Harper Trends in the Data Management space tend to emerge rapidly and mature slowly. Those that will most impact the way that Data Management is conducted throughout the coming months are explored below. These capabilities for managing data effectively represent the maturation of a number of different technologies, platforms, and capabilities that will…

In Defense of Data Science

Popular Science - Process

by Angela Guess Derrick Harris of GigaOM reports, “When Hilary Mason talks about data, it’s a good idea to listen. She was chief data scientist at Bit.ly, data scientist in residence at venture capital firm Accel Partners, and is now founder and CEO of research company Fast Forward Labs. More than that, she has been…

Companies Are Embracing Analytics but Still Wary of Big Data

Group Hug

by Angela Guess Erika Morphy of CMS Wire reports, “Advanced analytics is becoming an enterprise essential. But most companies appear content to stick with the benefits of the ‘small data.’ the technology generates rather than make the necessary investments to capitalize on big data. That’s true even though a majority agree that big data is…