Data science, advanced analytics & artificial intelligence

Our building blocks for your success

Advanced analytics
Data science methods
Machine learning
Artificial intelligence

Advanced analytics

Traditional analytical methods are exclusively dedicated to data that is already available in a structured form, held in a data warehouse, and easily retrievable via common commands. Examples of structured data are article numbers, time stamps or identification numbers which, for example, are generated at the point of sale.

Advanced analytics also expands the data spectrum to include the processing of unstructured data held in data lakes or data warehouses, thus offering entirely new possibilities. In addition to the well-known structured data, advanced analytics can also analyse, evaluate and link unstructured data such as social media posts, chats, scans or sensor files, which ultimately leads to a meaningful and effective use of big data.

With the advanced analytics know-how we provide, you generate added value from your Big Data, creating a true magic bullet. Along with its data science subfield, advanced analytics is dedicated to answering the most pressing questions in your business: Why did something happen? What will happen? What should be done to make sure this (doesn't) happen?

Data science methods

As an interdisciplinary field within advanced analytics, data science combines all efforts to generate added value with the use of data. Equipped with an operational toolbox consisting of artificial intelligence and machine learning methods as well as novel approaches specific to time series analysis, we strategically guide you from the idea to going live. The combination of an iterative coordination process with the business unit and our expertise in a wide range of data science disciplines is the success formula for added value.

Machine learning

From optimising the entire customer journey within CRM to predictive maintenance in the industry – machine learning, the simulation of human behaviour through the use of algorithms, is ubiquitous and versatile in a digital world.

Designed as a separate area within data science methodologies, we cover all machine learning components related to supervised learning (learning a concept), unsupervised learning (looking for patterns within data) and reinforcement learning (self-optimisation). Starting with the problem definition, through the data acquisition and learning phase, to productive use, we accompany you through the entire machine learning process.

Artificial intelligence

In its current stage, artificial intelligence is still far from human-like intelligence and is therefore used in very pragmatic applications via the development of intelligent neural networks. With our image and speech recognition AI services or the use of chatbots, we relieve your workforce of monotonous, repetitive or simple tasks that your employees can delegate to artificial intelligence.

With today's image and voice recognition tools (for example from the Azure platform) complex algorithms are available to the user at the push of a button with which very good results in the evaluation of image and language files can be obtained within a very short time.

As part of AI-driven communication, chatbots can perform communication tasks independently and carry on a conversation by themselves. They are therefore used for typical application cases such as support management (customer communication) or for simple, internal requests in various departments (e.g. vacation requests in Human Resources). In doing so, our smart chatbots are never speechless since all our chatbot projects go through the entire optimisation process, from requirement analysis to the implementation, which also provides an all-around carefree package with further services such as the identification of key figures and key performance indicators.

More about Chatbots

Our services

Forecasting

Implementation of accurate and fast forecasting models through a revolutionary approach with InstantML.

Data strategy

Review of the databases and development/elaboration of application scenarios and analysis procedures.

Data science

Analysis of your structured and unstructured data for unused potentials.

Cloud-based image recognition

Innovative solutions with neural networks for pattern and image recognition.

Anomaly detection

Live detection of anomalies in streaming and historical data.

Artificial intelligence with chatbots

You can find all theinformation on our chatbot offering here.

Data management – DWH, Big Data, Data Lake & Co.

The emergence of new business developments and trends is, of course, accompanied by the mapping and evaluation of these new developments in analytical methods and technologies. This causal chain has been steadily picking up speed in recent years, fuelling the proliferation of unstructured data and, in turn, giving rise to new analytic disciplines that make this unstructured data analysable in reporting and dashboarding: advanced analytics.

Advanced analytics does not serve its own sake

“IT must not serve its own sake!” is a common line of approach at Milestone Consult. This dogma also applies to our services in the field of advanced analytics, which provide answers to completely new questions and thus create enormous value: Why did something happen? What will happen? What should be done to make sure this (doesn't) happen?

GenAI Chatbots

In particular, ChatGPT's ability to communicate in natural language has raised the bar for the user experience of chatbots. Users now expect chatbots not only to execute simple commands, but also to conduct complex dialogues. We implement advanced GenAI chatbots for you, especially for external stakeholders such as website visitors, customers and applicants.