Blog

18

January

Cloud integration, Strategy and Compliance

Every business needs to have a digital presence across every platform to succeed. Cloud computing has made it possible for businesses of all types and sizes to have a digital presence. Cloud computing or cloud integration for businesses has eliminated the manual input previously needed at every stage of its operations, be it in sales or customer support. Hence time and resources are better utilized elsewhere to improve the products and or services of that business.

Some cloud services are provided for free with a data cap. Free cloud services like

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20

November

Artificial Intelligence and Machine Learning

Artificial Intelligence and Machine Learning- Introduction, concept and uses in business

Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems.This technology has been around for better half of the 21st century and has developed rather quickly over the last decade.Machine learning is an integral part of artificial technology. Artificial intelligence is the application of machine learning. Machine learning, simply put, is a machine that learns through processing and analysing, just like a human brain. As humans learn things by practice so does artificial intelligence via

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30

October

Businesses get an Edge with Big Data and Advance Analytics

Big Data and Advanced Analytics are creating profound new opportunities for businesses, yet very few companies are able to combine the right people, technology, data and processes to take advantage. To realize the value of big data, organizations need strategic and holistic solutions. Big Data is not just a technology initiative to be left entirely to data scientists and IT departments. It’s a strategic business opportunity that requires extreme coordination between the IT departments and the entire organization. In order to successfully execute a Big Data and Advanced Analytics strategy,

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18

August

INTERVIEW SERIES ON PREDICTIVE ANALYSIS – PART 10

Q: In your work with data analytic visualizations, what have you found are the keys to success?

A: The key is to make sure the analytics tells the correct story. Many people get so caught up in the visuals and charts but neglect examining the quality of the information presented. Once people put something in a chart, people tend to accept it without questioning their accuracy. It is critical for managers to continue to ask, “Does this make sense?” That also puts some of the burden on management understanding what analytics can and

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18

August

INTERVIEW SERIES ON PREDICTIVE ANALYSIS – PART 9

Q: In your work with predictive analytics, what behavior or outcome do your models predict?

A: It varies, as we work with clients across many verticals from condition based maintenance to forecasting sales.  One great example that we will present at PAW is in the exciting world of Marketing.  This area has been one of the fastest and most electrifying adopters of predictive analytics methods, with countless reports of significant lift and ROI over more traditional approaches.  With the onset of Big Data, we can now utilize even larger and more diverse data

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18

August

INTERVIEW SERIES ON PREDICTIVE ANALYSIS – PART 8

Q: In your work with predictive analytics, what behavior or outcome do your models predict?

A: The organizations we study use predictive analytics to forecast just about anything: consumer behavior, employee turnover, exchange rates, etc. For example on of our study participants was able to pinpoint trends in attrition by the employee tenure and potential.

Q: How does predictive analytics deliver value at your organization – what is one specific way in which it actively drives decisions or operations?

A: Predictive analytics allows organizations to make decisions that are a) better informed and b) less prone to cognitive

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18

August

INTERVIEW SERIES ON PREDICTIVE ANALYSIS – PART 7

Q: How is a specific line of business / business unit using your predictive decisions?  How is your product deployed into operations?

A: A product that we created called the Talent Index was shared with our senior leaders earlier this year, and the results contributed to goal planning and people management focus for 2017. The Talent Index is a tool we developed to measure how effectively our leaders are managing their organizations based on our core HR principles. It takes a comprehensive set of HR metrics, groups them into research-based factors, and

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18

August

INTERVIEW SERIES ON PREDICTIVE ANALYSIS – PART 6

Q: In your work with predictive analytics, what behavior or outcome do your models predict?

A: Although we predict a variety of different outcomes, we specialize in predicting retention, calculating the probability that individuals in a university, business, or program will stay or leave. Because the costs of acquiring a customer far exceed the costs of retaining one, this focus allows us to bring great value to our clients.

Q: How does predictive analytics deliver value at your organization – what is one specific way in which it actively drives decisions or operations?

A: We employ our analytics

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18

August

INTERVIEW SERIES ON PREDICTIVE ANALYSIS – PART 5

Q: What are the challenges in translating the lessons of predictive analytics from other verticals into manufacturing?

A: The objective for predictive analytics in manufacturing is really to enable actionable business decisions that impact the way you design, build, or service your products.  The most successful practitioners of predictive analytics in manufacturing use continuously updated data from many sources throughout their supply chain.  The biggest challenges center on data ETL, aggregation, and continuous updates.

Q: In your work with predictive analytics, what behavior do your models predict?

A: Our models predict the performance of mechatronic products. 

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18

August

Interview Series on Predictive Analysis – Part 4

Q: In your work with predictive analytics, what behavior or outcome do your models predict?

A: In order to plan drivers’ day, we predict where deliveries are going to occur as well as how long it will take a driver to complete his / her route.  This opens the door to planning, execution, and analysis tools which we created.  However…  This is NOT the end game.  There is more than prediction.

Q: How does predictive analytics deliver value at your organization – what is one specific way in which it actively drives decisions or operations?

A: Based

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