OnPoint For Organizations

Never Thought I’d Hear Myself Say, “I wish I’d played more video games.”

Posted by Marie L. Clark on Dec 7, 2017 6:11:00 AM

Recently, I was invited to a meeting in a Virtual Reality Simulation (SIM.) We were there to discuss the creation of an environment where marketers could observe customer behavior, as opposed to a more traditional focus group approach.

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Topics: Data Science, marketing, Data Scientist, big data, virtual reality, simulation, SIM, thick data, qualitative data, quantitative data

Robophobia Causing Unprecedented Levels of Workplace Stress – Is it killing your profits?

Posted by Marie L. Clark on Oct 12, 2017 6:11:00 AM

Robophobia – fear of losing your job to ‘robots’ in the form of Artificial Intelligence (AI) and Robotic Process Automation (RPA).

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Topics: robophobia, Fear, RPA, Artificial Intelligence, robotic process automation, AI, stress

Ambient Intelligence Manifesto

Posted by Viktor Litvinov on Sep 21, 2017 6:01:00 AM

A Call to Action

There is tremendous competitive advantage available to organizations who have people who can work with various data types and apply a range of analytics techniques to describe past events, predict future ones and prescribe decision options.[1]

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Topics: Analytics, Advanced Analytics, Ambient, Intelligence, Prescriptive Analytics

5 Mistakes Recruiters Make When Qualifying Candidates

Posted by Marie L. Clark on Aug 17, 2017 11:12:49 AM

Over the past 3 weeks, 27 recent analytics graduates have reached out seeking my assistance landing a job, even though estimates are there are currently between 140,000 and 190,000 open Data Scientist positions in the US. How could these folks possibly have difficulty finding a job? They are in a sellers’ market! I would expect to see a bidding war since currently in the US, we find ourselves in a job market with 6.2 million open jobs amid 7 million unemployed.

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Topics: Data Science, Analytics, Job, Gig Economy, Remote, Job Automation, Human Resources, HR, recruiter

Data Science: A Team Sport

Posted by Marie L. Clark on Aug 11, 2017 4:47:20 PM

In the simplest terms, Data Science is the transformation of Data into actionable insights. Raw data must be processed and transformed to produce information. That information is then analyzed to derive knowledge. The end goal of the exercise is for the knowledge to drive action.

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Topics: Data Science, Analytics, Data, Chief Data Officer, Data Scientist, Team Sport

Got Talent? Are you winning the war for talent?

Posted by Marie L. Clark on Jul 20, 2017 10:13:11 AM

In response to the critical shortage of data expertise in the existing job market, organizations will need to leverage and explore new techniques of acquiring, developing and retaining talent.

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Topics: Gartner, Data Science, hank barnes, Talent, Julie Short, Tech Growth, Analytics, Six Sigma, eCommerce, Human Centered Design, robophobia

You Don’t Have to Spend $7-figures to Build an Effective Data Science Team

Posted by Marie L. Clark on Jul 19, 2017 2:47:13 PM

Industry experts predict that "through 2019, 90% of large organizations will have hired a Chief Data Officer (CDO); of these, only 50% will be hailed a success." - Gartner

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Topics: Data Science, Analytics, Six Sigma, Data, CDO, Chief Data Officer

Women: A Critical Success Factor in Data Science & Advanced Analytics

Posted by Marie L. Clark on Jul 19, 2017 2:24:33 PM

Women represent a large, untapped talent pool that can be leveraged to address the
critical shortage of expertise in data and analytics.

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Topics: Data Science, Analytics, STEM, Women, businesss, startup, sales, jobs, business, economy, marketing, social media

Turning Data Into Gold - Are You Missing the Opportunity of the Century?

Posted by Marie L. Clark on Jul 3, 2017 6:27:48 PM

"By 2020, 10% of organizations will have a highly profitable business unit specifically for productizing and commercializing their information assets." - Gartner

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Topics: Gartner, Data Science, Infonomics, Tech Growth, Analytics, Doug Laney, Information Assets, Information, Economics, Profitable, Data