Articifial Intelligence & Data Science

Articifial Intelligence & Data Science

Make accurate decisions based on high-quality information and react quickly to current changes.

Data Science is all about extracting valuable information from structured and unstructured data. Together with Artificial Intelligence (AI) – the ability of a machine to imitate intelligent human behavior – you can make accurate decisions, based on high-quality information. Moreover, you can react quickly to recent developments.

  • Together we implement your AI projects and identify valuable approaches, the right technologies and the operational use of information for your business processes. Benefit from our experience as a manufacturer, product provider, dealer and service provider.
Problem

Variety of unused information

The amount of data is increasing day by day. The problem for companies is mainly that these data volumes are often unstructured but at the same time hide a lot of valuable information from which important knowledge can be generated. Only if all the information are used companies can make data-based decisions and optimize corporate management.

Data Science

Make data-driven decisions

Data Science has been touted for some time as the pinnacle discipline for discovering valuable information in larger data sets. It promises to extract hidden, valuable information from data of any structure. Together, we use Data Science to find the optimal way to find valuable information in your data to support your decision making.

Challenge

Understanding the behavior of customers

New technologies and new platforms are generating data on every aspect of customer behavior, every touchpoint in the customer journey and every response to your offerings. Data are the most important key to understanding your customers. As a result companies face the challenge of collecting, preparing, interpreting and using this customer data.

Data Analytics

Get more out of your customer data

With the right concept of Big Data, Artificial Intelligence and Machine Learning, you can leverage the true potential of your customer data. The first step is to select the right technology and decide whether and how to work with your own data. Then comes the analysis and interpretation of the customer data.

Both, the standard budget report as well as the decentralized planning were met with great approval and enthusiasm. The decision for this software house was absolutely right.

Robert Algner Holder of Central Controlling Landratsamt Bodenseekreis

The TIMETOACT BI solution maps our dynamic market environment very well. Strategic and operational planning benefit equally from our new system.

August Storm GmbH & Co. KG
Challenge

Increase in data due to the Internet of Things

One of the most striking features of ongoing digitization is the rapid increase in data. A key driver of this development is the Internet of Things. Data integration is a prerequisite for bringing order to this jumble of information and using it profitably for oneself.

Industrial Internet of Things

Networking through IIoT optimizes processes

Data integration is an essential factor for the Industrial Internet of Things, IIoT for short, in the course of which machines, plants and software are networked and communicate with each other. Based on the integrated data obtained, it is possible to make intelligent decisions, automate and accelerate processes. The elimination of time-consuming data maintenance and consolidation saves time and money.

Request

Identify risks and optimize business processes

Digital transformation changes the foundation of every company in the long term. Those who want to achieve the greatest possible benefits and best results in their business areas in the future are dependent on identifying risks at an early stage, optimizing business processes and deploying resources with maximum efficiency.

Advanced Analytics

Make predictions about the future

Advanced analytics encompasses a wide range of tools that can examine business processes and help bring about change and improvement. We work together making collected data better understandable. As a result we extract value information that leads to more better and more informed decisions. This is how you optimize your business processes.

Descriptive Analytics

Descriptive Analytics is used to capture the status quo and identify potential problems. The situation analysis using these measures: Standard Reporting, Ad-hoc Reporting, Queries

Predictive Analytics

Predictive analytics deals with the prediction of the future and trends. Multiple predictors are combined into a predictive model to analyze future probabilities with an acceptable level of reliability.

Prescriptive Analytics

Prescriptive analytics deals with the question of how to find the optimal course of action for a given situation. This is based on collected company data and predictive models.
Request

Optimize customer service

With the ever-evolving tech industry, new technologies are continuously emerging to reshape the market: Chatbots are no exception. Using them provides ample new opportunities and chances for a company to make its mark.

Intelligent chatbots

Help your customers quickly with chatbots

Chatbots are not only practical in customer communication, but also have a wide range of applications. For the time being, however, the most important area of application remains customer service. With a chatbot, you have a digital employee who is available 24 hours a day, seven days a week, to handle not just one, but hundreds of customer inquiries at the same time.

Our Success Stories in Articifial Intelligence & Data Science

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Kompetenz

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Microsoft Azure

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