Friday, September 13, 2019
Business Intelligence and Analytics 29
1 The 4 Big Data Positions to Fill to Create a Successful Analytics Team
https://datafloq.com/read/4-big-data-positions-successful-analytics-team/6866
For a few years now, big data has been one of the hottest types of business technology around. The high-visibility big data successes like Amazon, Facebook, and Netflix have sent everyone from Fortune 1000 businesses to SMEs of every kind scrambling to climb aboard the big data train. In the process, they’ve created a labor market that’s short on experts, and that has seen some of the strongest wage growth of any sector.
2 Automated Machine Learning for Professionals – Updated
https://www.datasciencecentral.com/profiles/blogs/automated-machine-learning-for-professionals-updated
Summary: As the Automated Machine Learning (AML) movement got underway a few years back there was an early branch between proprietary platforms and open source platforms. In this article we’ll update you on leading open source AML tools. Since they continue to require fluency in Python or R we label them “professional”.
3 5 Innovative Ways Procurement Can Use Data Analytics
https://www.sourcetoday.com/supply-chain/5-innovative-ways-procurement-can-use-data-analytics
Big data. Key performance metrics. Predictive data analytics. Structured and unstructured data. The list of terms used to describe the vast quantities of information being generated by organizations—and the methods for using that data—seems to be proliferating as quickly as the data itself. Figuring out what to do with all of this information can be downright daunting, but the good news is that procurement is in a prime position to use data to develop reports, perform spend analysis, assess suppliers, and do compliance checks.
4 How Technology is Revolutionizing Sales Engagement Platforms
https://www.business2community.com/brandviews/dealhub/how-technology-is-revolutionizing-sales-engagement-platforms-02239180
Did you know that 75% of businesses say that closing more sales deals is their number one priority? However, in a survey by HubSpot 40% of sales representatives said it is becoming more difficult to get replies from their prospective customers.
5 The 5 Graph Algorithms That Data Scientists Should Know
https://www.kdnuggets.com/2019/09/5-graph-algorithms-data-scientists-know.html
In a connected world, users cannot be considered as independent entities. They have got certain relationships between each other and we would sometimes like to include such relationships while building our machine learning models.
6 Top 4 Ways Big Data and Predictive Analytics Can Benefit More Stakeholders
https://www.analyticsinsight.net/top-4-ways-big-data-and-predictive-analytics-can-benefit-more-stakeholders/
Big data and predictive analytics have undoubtedly changed business as we know it. Large enterprises that have effectively leveraged predictive analytics like Amazon, Netflix, and Walmart are all enjoying massive success in their respective industries. Their data efforts have allowed them to engage customers effectively through targeted marketing and be more efficient by streamlining their supply chains.
7 How customer shopping data is used to promote groceries
https://medium.com/@So1_ai/how-customer-shopping-data-is-used-to-promote-groceries-54e3a39d5b75
One of the best ways to inspire customers is a well-designed thematic promotion. That’s why retailers’ circulars are full of recipes from famous chefs and stores are changing into showrooms of world cuisines. But with so many products and brands available, it’s never easy to design weekly promotions that will engage with shoppers, attract them to the stores and increase their spend.
8 How to Choose the Right Analytics Skills
https://www.informationweek.com/big-data/big-data-analytics/how-to-choose-the-right-analytics-skills/a/d-id/1335713
Just because an analyst hits the ground running does not mean that analyst has the ongoing breadth needed to solve every day analytics problems.
9 8 AI Trends in Today’s Big Enterprise
https://www.informationweek.com/big-data/big-data-analytics/8-ai-trends-in-todays-big-enterprise/d/d-id/1335771
A new KPMG report provides an inside view into how big companies are investing in and deploying artificial intelligence and machine learning technology.
10 How Companies Can Reduce the Risk of Disasters
https://knowledge.wharton.upenn.edu/article/companies-reduce-the-risk-of-disasters/
As Hurricane Dorian demonstrated last week in the Bahamas and elsewhere, catastrophe can strike without warning with devastating force. How can companies prepare to respond when that happens?
