Ever wondered how businesses come up with such impressive innovations each day? The pace at which the demand for technological advances is increasing is wondrous. To stay in the game and cope up with the brutal competition out there, businesses need to improve and better their processes each day.
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Analytics refers to the use of mathematics, machine learning, and statistics to derive insightful patterns and knowledge through precedent data. With the power of analytics, enterprises can employ the colossal amount of data created every day, to produce answers to questions that are unimaginable. It is the science of recording, storing, segregating, and making sense out of the quintillions of data produced by enterprises.
And here's another article:
10 Data and Analytics Trends to Watch in 2020 - Business 2 Community
A new decade offers a natural inflection point around business transformation – transformation that is increasingly being fueled by informed, real-time business decisions. As brands face a 2020 reality check and use this year to hone their next-decade strategy, investments in emerging and evolving trends and technologies are giving many organizations a competitive edge. Here are 10 to watch in 2020:
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Analyst Marcus Borba says Auto machine learning (AutoML), the ability to automate the entire process of developing and managing machine learning models, will also help data scientists focus on what matters versus the mundane. In addition, it will help prevent errors, as well as make machine learning capabilities accessible to more employees across the enterprise – accelerating success and productivity.
Five top qualities to look for in an analytics provider | Leadership | African Business Chief
Get more than ever out of African Business Chief. Participate in discussions, easily share your favorite stories, and connect with what your friends are sharing
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Laura Timms, Product Strategy Manager at MHR analytics , discusses the top things you should look out for when picking an analytics provider.
So you’ve decided to take the plunge in 2020. You know that data analytics can do great things to propel your company into the next decade and you’re ready to take the next steps?
People analytics is future of HR in India, shows LinkedIn report - The Economic Times
While you're here, how about this:
How IT Can Get Predictive Analytics Right - InformationWeek
Understanding predictive analytics has become a key requisite for discovering customer needs and business opportunities from data. But the first steps in establishing a good predictive model lie in outlining data, its sources, and crucial data relationships. Those first steps will require good business resources to organize the details. IT can be that vital resource to quickly highlight opportunities that work effectively with data.
When tasked with preparing a predictive model, an analyst must ask what is the best approach for the initiative. When IT personnel are included in the initial stages, the answers can address different facets of the project, revealing ideas that may not be so obvious from the start.
Using analytics to deploy data science more effectively
Declan Murphy: 'Our system . . . analyses, cleans, and categorises while highlighting key skills and competencies.'
In 2013 Declan Murphy faced a big career upheaval after a global merger at the company for whom he worked. A redundancy cheque was offered and Murphy accepted, thinking he might use it to do something for himself.
While mulling his options he began looking for another job and quickly discovered shortcomings in the recruitment process. "I had no idea that recruiters were spending anything from 20 to 40 minutes 'processing' a candidate's CV to put it into a particular format and style," he says. "I couldn't believe there was no software to do that and kicking the idea around with my sister Orla, who leads the Digital Humanities faculty at UCC, it became clear that here was a definite market opportunity.
Here's an affordable way to break into the data analysis field
Somehow, while we were all laughing at the meme of the day or what Kanye said on Twitter, data took over the world. It drives everything from your Instagram feed and Netflix recommendations to Google Maps and self-driving cars. It's not hard to see why data analysts are so in demand across virtually every industry.
With this bundle, you'll get a year's access to five courses on data analytics, Tableau, Python, Excel, and MongoDB – just about every tool and method you'll need to become a data whiz.
European Banking Authority Publishes Report on Big Data and Advanced Analytics | Shearman &
The European Banking Authority has published a report on big data and advanced analytics in the banking sector. The report sets out the findings of the EBA's review of big data and analytics and presents key pillars and elements of trust for the development, implementation and adoption of BD&AA by banks.
The EBA reports that BD&AA are leading to changes in firms' business models and processes and are part of most firms' digital transformation programs. However, banks are only using core banking data for data analytics instead of other external data sources, mostly due to reliability and accuracy concerns.
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