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Smart Data Discovery - The next wave in BI



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Smart Data Discovery – the Next Wave in Business Intelligence

In our always-on, ever in demand world, technology moves at a breakneck speed for both consumers and business. Keeping up with the trends can be mindboggling and 2017 is no different. Last year we touched on the top three emerging trends in the insight and analytics sector. From increased data security scrutiny to healthcare data to smart data for the masses; it’s been nearly a year since we wrote about these emerging big data trends. So, let’s take a deeper dive and see where we are, what’s changed, and what to watch.

One of the most quickly evolving trends is smart data discovery according to Gartner’s 2017 BI and Analytics Magic Quadrant. As the Digital Age progresses, this next wave of business intelligence automates analytics through machine learning and natural language. Businesses will need people who can understand, manage, and guide the process as projections show smart data discovery to be mainstream within three years.

Finding the Balance

Most companies need to balance between a structured setup and a need for data discovery. Finding the balance can help guide them to informed decisions about investing in their analytics capabilities. Consistent data definitions may be best in a more centralized approach, while more complex issues may be solved by a combination of smart data employees utilizing machine learning tools for analysis.

It’s important to recognize not everyone in the organization has the time, talent, or interest involved in data discovery. But, they still need the information gained from analysis beyond a standard report format.

FUN is in the Fundamentals

As exciting as combining machine learning process with new data discoveries is, it’s key not to forget the foundation of prep work. Technology needs those who understand what data is important to a business and how it should be managed.

Data discovery is key to every business and isn’t just related to customer insight and marketing in consumer industries, it’s important in the financial services sector as well. This is where our team of experts comes in. If you’re interested in contributing to the future of big data, we might have the role for you. We specialize in Data and Analytics recruitment and always have a wide range of vacancies at both junior and senior level. Take a look at our current vacancies or contact us to find out more.

For the East Coast and Mid-West teams please call 212-796-6070, or email newyorkinfo@harnham.com.

For the West Coast team call 415-614-4999 or email sanfraninfo@harnham.com.

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Finance 4.0 – Who Determines Credit Risk in the Fourth Industrial Age?

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Sara Cornwall

21. March 2019

The California Data Goldrush

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Jamie Finnigan

13. March 2019

Agri-Tech Innovation: A New Industrial Revolution?

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McElla Pappas

28. February 2019

Measure Twice, Cut Once

We are human. We are digital. We are both. The digital mindset and digital transformation, once heavily focused in marketing, advertising, finance, and retail also drives advances in Life Sciences.  Computational Biology, Bioinformatics, and statistics. If you’re going to solve biological problems with data, you need Biostatistics. Just like you need a Data Engineer to create the parameters from which to build the structure of your Data, you need a Biostatistician to lay the groundwork to study the life in Life Sciences. This information can be infused in a variety of industries, not the least of which is medicine.  We haven’t reached immortality yet, but we’re well on our way. Route to the Role of Biostatistician If numbers at the pixel level are your cup of tea, then this role was made for you. At its core, Biostatistics is the application of statistics to range of topics in biology. It is for the numbers geek with a creative streak, and encompasses the design of biological elements; the gathering and analyzing Data from experiments and offering solutions to problems in medicine, health, and many more. The educational component of this role is more often not at the PhD level and, as pharma works to beat the back the opioid crisis, Biostatisticians are on the rise. Not the least of which to reach out is the Food and Drug Administration (FDA), who have turned to scientists at UNC to fill knowledge gaps. Pharma may be in the news, but Biostatistics go well beyond this single focus in areas such as genetics, potential open source biological databases, and digital transformation throughout the medical fields. Want to know what else is in store for the Life Sciences? Trends to Watch The 2019 Global Life Sciences Outlook offers deeper insight into the following trends and offers a glimpse into the next wave of digital transformation with a focus on Biostatistics, Bioinformatics, and Computational Biology endeavors. Move over pharma legacy culture. There are new players in town. From tech giants diversifying into health care to small business startups controlling assets through its lifecycle, the next generation is shaking things up. The hunt for next gen meds has begun in answer to declining R&D returns making the case for strategic deal making a key innovation source for companies. Connection and integration of medical devices into existing care pathways across the Internet of Medical Things (IoMT) ecoysystem. Outsiders become insiders as increasing security risks spur companies to safeguard their data. Outsourcing expertise in AI, cognitive automation, and cloud computing for peace of mind.  Cross-pollination of transformative technologies – physical, digital, and biological – to help forward thinking pharma companies evolve from pilots to determining how new technologies can best add value using:Artificial Intelligence (AI)BlockchainDIY diagnostics and virtual careInternet of Medical Things (IoMT)Software-as-a-Medical-Device (SaMD) Though only about twenty percent of organizations feel good about their place in the digital world, many remain in the experimental stage. Agile companies and the early adopters of digital technologies and platforms could benefit from deeper insights from clinical trials, better patient engagement, and faster life cycle times for products. A digital-first attitude will be a key driver of major change in the digital transformation in Life Sciences. Organizations will work toward a two-fold endeavor of divining how disruptive technologies can work together to provide value and meaningful transformation as well as putting humans back in the loop through training, retraining, or upskilling; rearranging the organization; and reconstructing how work gets done. Humans meet AI meet Machine Learning meet humans.  If you’re interested in Biostatistics, Bioinformatics, Computational Biology and Big Data & Analytics, we may have a role for you. We specialize in junior and senior roles. Check out our current vacancies for additional opportunities or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Riley Hsia

21. February 2019

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