WIT Adds Predictive Analytics And Machine Learning Capabilities Through Partnership With DataRobot

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As of May 1, 2017, DataRobot is now one of our exclusive technology partners and we are prepared to use this innovative platform to support our clients with their advanced analytics needs. DataRobot offers an enterprise machine learning platform that empowers users of all skill levels to make better predictions faster. Incorporating a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform automates, trains and evaluates predictive models in parallel, delivering more accurate predictions at scale.

Data To The People!

DataRobot is facilitating the democratization of data science that allows data scientists of all skills, business analysts, executives, software engineers, and IT professionals to use this software with ease. With DataRobot, the data science skills of writing code and building algorithms is optional, and it opens up new horizons for businesses to have access to predictive modeling capabilities. Predictive analytics is a form of advanced analytics which examines data or content to answer the question “What is going to happen?” or more precisely, “What is likely to happen?”, and is characterized by techniques such as regression analysis, forecasting, multivariate statistics, pattern matching, predictive modeling, and forecasting.

Predictive Analytics, Big Data, Data Cleansing, Data Science, Forecasting, Analytics, Advanced Analytics, Prescriptive Analytics

Crystal Ball Predictions Or Smart Business Practices

The highly competitive world of retail has been an early adopter of predictive analytics to improve inventory management. For example, a fashion and lifestyle brand in Europe is using predictive analytics to be more responsive to customers buying behavior and the latest design trends across their global brand.

“We are able to identify the items that will be best sellers while also identifying items that will perform poorly," said Vanessa Stuetzle, chief digital officer, The s.Oliver Group. "These data help us to make more informed buying decisions so we can avoid stock outs while keeping more items off the clearance rack."

Retail is not the only industry embracing the benefits of predictive analytics, tech giant Intel has reported that it’s saving $656 million per year using predictive analytics across departments like sales, product design, supply chain, and manufacturing operations globally. Implementing a machine learning platform that detects bugs during development in the product design phase has reduced the time it takes to bring an Intel product to market by 39 weeks.

Use It Or Lose It

Adopting new technologies - like predictive analytics and machine learning - is a daunting investment of both time and money, but we are seeing that the return on investment can be significant. Just like when any company adopts a business intelligence or analytics platform, the software is simply a tool – people have to use it. The s.Oliver Group and Intel were successful because their leadership has made smart, data-driven decisions based on the new information that predictive analytics has provided them. To learn more about what predictive analytics could do for you, contact us today about incorporating a machine learning platform like DataRobot.

Contact Us Today: 800-257-1490 | info@witinc.com

 

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Unlock Your Teamcenter Data with Custom Enterprise Change Management Dashboards

Our WIT team went down to Indianapolis to the Siemens PLM Connections conference on May 8-11, 2017. This conference brings more than 2,000 PLM World members, PLM users, and partners together for a 4-day event each year. This was our first time attending this conference, and we had a great time meeting new people who visited our booth, networking at reception events, and sharing innovative solutions at our breakout session.

We decided to make the 5+ hour drive down to Indianapolis because we have several customers who use Teamcenter and we wanted to pitch our success with Qlik dashboards using Teamcenter data combined with other sources. Our team of BI experts uses Qlik to build custom dashboards that are not available in the BI market today. The resulting dashboards enable business users to gain significantly deeper insights into change management for a global product line.

Enterprise change management is the ability to identify, track and respond to internal processes impacted by external changes from customers and suppliers. These changes can include engineering changes triggered by the customer, material changes triggered by the supplier, or changes to plant location for production triggered by any party involved – just to name a few. Enterprise change management data - like Teamcenter data - is often buried in complex systems and difficult to analyze. This is a challenge that many Teamcenter users face and leaves them with unanswered questions; including the number of changes made, the causes of changes, and ultimately the impact these changes have on their customers.

We demoed an example of our change management dashboard at the conference to show Teamcenter users how this dashboard could answer many of their questions with the increased ability to track and quantify changes at every grain of data. With a few clicks of a mouse, this custom Qlik dashboard is able to pinpoint that a delay at Plant A for Product B, has negatively affected Customer X, Y, and Z to the tune of X USD.

Our WIT team was excited to share our custom change management dashboards directly with Teamcenter users because we know a tool like this can empower companies and business users to make data-driven business decisions.

About WIT

WIT is a business analytics consulting firm founded in 1996. We help our clients make better business decisions from their data, whether it’s through executive dashboards, data discovery, big data, enterprise reporting, or data in the cloud. Clients range from small business to Fortune 500 companies across all major industries. For more information, please visit www.witinc.com

 

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