Data Science

What is Data Science ?

Relationship between Artificial Intelligence, Machine Learning and Deep Learning

·         Artificial Intelligence is covering anything which enables computers to behave like a human.  Machine Learning is a part of this as well as language understanding and computer vision.

·         Machine Learning deals with the extraction of patterns from data sets. This means that the machine can find rules for optimal behavior but also can adapt to changes in the world. Deep Learning is part of this, but so are decision trees, k-means clustering, or linear regression, among others.

·         Deep Learning is a specific class of Machine Learning algorithms which are using complex neural networks.  Recent advances in parallel computing made those algorithms feasible.

Deep Learning is a subset of methods from Machine Learning.  Which is again a subset of Artificial Intelligence.

Data Science is the practical application of all those fields (Artificial Intelligence, Machine Learning, Deep Learning) in a business context.

​“Business” here is a flexible term since it could also cover a case where you work on scientific research.  In this case your “business” is science.

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whatever the context of your application is, the goals are always the same:

·         extracting insights from data,

·         predicting developments,

·         deriving the best actions for an optimal outcome,

·         or sometimes even perform those actions in an automated fashion.

Predictive analytics

Predictive analytics encompasses a variety of statistical techniques from predictive modeling, machine learning and data mining that analyze current and historical facts to make predictions about future or otherwise unknown events.

In business, predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for candidate transactions.

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 Automotive Industry

Speed up your Business with Predictive Analytics

BE FASTER THAN YOUR COMPETITION
 
Today’s automotive markets must move beyond traditional strategies.

The automotive industry is more data-driven today than at any time in its history. In-car sensors, GPS tracking, automated manufacturing processes, and more are producing vast volumes of data that need to be analyzed and understood.  Predictive Analysis enables auto makers to derive value from this data by extracting the information that is hidden online, inside the vehicle, or at the plant to better understand product usage, preferences, and manufacturing processes to ensure quality and customer satisfaction.

Banking Industry

Secure Return on Advanced Analytics

RETAIL BANKING IS CHANGING RAPIDLY, ARE YOU READY?

BANKING & FINANCE

Manage change. Don’t let change manage you.

Retail banking is changing rapidly: Customer touches shift from traditional brick and mortar branch visits to digital channels, and self-service channels are on the rise and need to be established. Customers expect a consistent brand and service experience across all channels. Implementing a pro-active and anticipatory management of customer expectation and experience is key to success.

Consolidate your business decisions on a strategic level with Predictive Intelligence that shows what will happen, why and what the best option is. Optimize your business on a micro-level through predictive actions – automated micro-decisions derived from accurate predictions that ensure optimal outcomes of your business processes.

 

Energy Industry

Extract Better Results with Data Science

MAXIMIZE EFFICIENCY AND YIELD. 

Improved technology and reduced prices make it easier to collect and access on-site data. Leverage Predictive Analytics to explore and generate value from this data. Optimize extraction and production by ensuring process quality, improving risk management tactics and employing predictive maintenance.

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Insurance Industry 

Understand and Eliminate Risk with Data Science

INSURE YOUR BUSINESS AGAINST UNCERTAINTIES 

Revolutionize your marketing, underwriting, and claims processes with informed decision making, automation, and scoring to improve efficiency and stand out from the competition. Be assured that you can identify and claim new customers that will move your business forward. 

Life Sciences

 Treat Patients Better

IMPROVE QUALITY OF CARE AND WITH DATA SCIENCE

Optimize your operations and do the best for the patient, your customer.

Life science companies face massive challenges due to political reforms affecting healthcare sectors, regulatory pressures, and high investment hurdles for innovation. As things continue to evolve, life science companies need to tighten their operations to meet these challenges. Use Predictive Analytics to optimize operations throughout the company, analyze and explore your target markets and make your product development and production more cost-effective and profitable. 

Manufacturing Industry 

Data Kaizen with Data Science

USE YOUR DATA SCIENCE TO OPTIMIZE YOUR MANUFACTURING PROCESSES 

Success in manufacturing is all about innovation.

Manufacturing businesses rely on innovation to thrive. But today, innovation is not just about manufacturing new products – it is also about using information in a unique way to be successful. Be innovative by building digital factories that utilize information as a unique asset alongside human experience. Be innovative by  using  Big Data generated in your production processes to derive predictive information that helps you in optimizing your processes and considerably improves your business results. Be innovative and enjoy the success.

 
 
Retail & Consumer Goods

 Win Loyal Customers

DRIVE MORE SALES WITH DATA SCIENCE

Understand what customers want and you’ll have a customer for life.

In today’s customer driven world it’s crucial that retailers understand the customer mindset. When you understand your customers wants and needs, you’re able to dramatically improve sales performance. Use Predictive Analytics to help target individuals using personalized offers to increase the value of each purchase. If you deliver what they want most, you’ll have them coming back for more!

Telecommunications Industry

Connect with Customers Using Data Science

IMPROVE CUSTOMER RELATIONS AND RETENTION

 Be prepared for the next move.

Telecommunication markets are highly competitive and churn is a huge concern. Understanding customer behavior is key to staying top-of-mind. Predictive Analytics helps you understand your customers, anticipate their needs, and act accordingly, ultimately increasing their loyalty and minimizing eroding revenues and your risk of losing ground to the competition.