Our key focus is to provide an exhaustive service for Data & Analytics/Big Data initiatives covering all science, technical, legal, and commercial data issues as we believe that the “data challenge” is only met when all these complexities are addressed together.

In our projects we carry out the following tasks:

  • Data strategy and identification of opportunities for data use
  • Preparation of an implementation and business plan
  • Full implementation
  • Data science and Machine Learning
  • MLOps
  • IT platforms, tools, operations
  • Related legal issues, including data protection and privacy
  • Programme and project management

Our services:

We believe that a data-driven approach can help solve problems in many areas that could be solved less effectively by traditional means.

Tanulói lemorzsolódás
Munkatársi lemorzsolódás

Smart document processing

To accelerate digitisation processes, we develop solutions that can efficiently process unstructured data sources that otherwise require human intervention, such as contracts, invoices, receipts, identity documents, etc.

Our solutions combine the latest natural language processing (NLP) and computer vision (CV) technologies.

Artificial Intelligence solutions developed in this way are able to self-learningly recognise the content of documents and extract it in a structured format, saving manual processing time.

Main applications:

  • Automatic processing of contracts, content extraction (also from scanned documents)
  • Identify types of certificates and extract data
  • Customer service automation (e.g. processing customer complaints)

Workforce Analytics

We believe that data science can help functional areas tackle problems where traditional solutions don't work.

High levels of workforce fluctuation/attrition are a problem that most organizations have been facing for a long a time. KPMG’s Data & Analytics services has developed a workforce analytics solution based on big data elements:

  • The solution aims at predicting future behavior of employees – including attrition, future top performers and changes in performance.
  • It is relevant for all companies employing a high number of people in similar positions (e.g. SSC’s, or organizations with large back office, call center, field sales, etc.).
  • It provides practical output that can be easily integrated into existing processes and systems.
  • It has already been deployed internationally at blue chip companies where it has exhibited impressive results.
Digitális kereskedelem

Omnichannel personalization in retail

A new breed of customer has emerged in this era of the Internet and

  • With the online experience, smart phones, tablets and now the growing use of mobile apps, the passive shopper or consumer has become an active customer. 
  • These “What I Want, When I Want It” (WIW-WIWI) customers expect that they can collect all relevant information, select the desired products, pay for them and take them home the way it best suits them through whichever channel is most comfortable to them. 
  • WIW-WIWI customers are turning the current retail model on its head by redefining and customizing the way in which they engage with retail brands.

Retailers need to adapt by personalizing and going “DIGICAL.”

  • Bringing the internet experience into the physical store, and the store
    experience onto the Internet (digital & physical);
  •  Knowing each of your customers to be able to offer what they want
    (personalization) and serve them as they want it (omni-channel).

Our proposed common value proposition to support the transformation of brick and mortars comprises:

  • A modular transformation program for bricks and mortar retailers into a fine blend of a personalized omni-channel service offering, using the latest advanced analytics/big data and technology solutions.
Prediktiv modellezés Adatbányászat Természetes nyelvfeldolgozás Kép feldolgozás és gépi látás

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