Improve your existing processes and develop new business models by combining professional data management and AI.

Improve your existing processes and develop new business models by combining professional data management and AI.

Data&Analytics

SMART DATA

Quick Check. Analysing potential in order to identify suitable AI projects in your company. Defining the use case and the objective and acquiring and exploring the right data.

FAIL FAST, LEARN FAST

Proof-of-Concept. A quick and efficient review of the AI project´s feasibility and the identification of necessary adjustments in terms of data quantity and quality.

ITERATE FASTER

Minimum Viable Product (MVP). Creating a technical breakthrough under realistic conditions. Collecting valuable feedback from users through a pilot project and adjusting the direction of the AI-based solution.

MAKE YOUR DATA USEFUL

Production. Supporting the transition of the MVP into production, including the design for for monitoring and maintaining the custom AI solution in the operation environment.

We cover all key data areas for the securities business

MASTER DATA

Information on securities, companies and organizational structures as well as descriptive information, such as rating or ESG.

MARKET DATA

Such as key figures, volumes and indicators or index and benchmark data as well as corporate actions.

COURSE DATA

Data for the valuation of securities and portfolios, e.g. market prices or theoretical valuation prices for various types of securities.

Processes, technology and strategy

DATA STRATEGY

Development of data strategies to support and achieve your business goals.

DATA ARCHITECTURE

Design of data architectures for efficient data management and implementation of the data strategy.

DATA GOVERNANCE

Processes, guidelines and procedures as well as definition of responsibilities for ensuring the quality, integrity, security and availability of data.

DATA ENGINEERING

Development and management of data infrastructures and systems for the efficient collection, processing, storage and analysis of data.

Classification

Classification

Classification is the task of automated prediction of a discrete class label (e.g. fraud yes/no).

Company-specific examples:

  • Plausibility check of transaction data

  • Credit scoring check

  • Classification of customer groups based on similar behavior patterns

  • Churn prediction

IP-Vertragsmanagement-und-NDA-Management

Regression

Regression is the task of automated prediction of a continuous value (e.g. stock price).

Company-specific examples:

  • Forecasting market developments such as share prices

  • Process optimization through more efficient controls of material purchases

  • Predictions of future customer buying behaviors

Richtlinien-und-Prozessmanagement

Natural Language Processing (NLP)

NLP is the process of automatically analyzing and representing human language. This allows the automatic extraction of structured information from text and also the generation of new text.

Company-specific examples:

  • Automatic assignment of keywords for texts

  • Content summarization of texts

  • Spam detection of e-mails

  • Topic-specific sorting of texts

Aufbau-einer-internen-Wissensdatenbank

Classification | Regression | Natural Language Processing (NLP)

Classification

Classification

Classification is the task of automated prediction of a discrete class label (e.g. fraud yes/no).

Company-specific examples:

  • Plausibility check of transaction data

  • Credit scoring check

  • Classification of customer groups based on similar behavior patterns

  • Churn prediction

IP-Vertragsmanagement-und-NDA-Management

Classification | Regression | Natural Language Processing (NLP)

Regression

Regression is the task of automated prediction of a continuous value (e.g. stock price).

Company-specific examples:

  • Forecasting market developments such as share prices

  • Process optimization through more efficient controls of material purchases

  • Predictions of future customer buying behaviors

Richtlinien-und-Prozessmanagement

Classification | Regression | Natural Language Processing (NLP)

Natural Language Processing (NLP)

NLP is the process of automatically analyzing and representing human language. This allows the automatic extraction of structured information from text and also the generation of new text.

Company-specific examples:

  • Automatic assignment of keywords for texts

  • Content summarization of texts

  • Spam detection of e-mails

  • Topic-specific sorting of texts

Aufbau-einer-internen-Wissensdatenbank

Our experienced data team will support you in implementing suitable projects for your company.

Our experienced data team will support you in implementing suitable projects for your company.

Our team is looking forward to consulting you.

Our team is looking forward to consulting you.

Armin-Binsteiner

Armin Binsteiner
Ansprechpartner Vertrieb
armin.binsteiner@concedro.com

Carsten-Goetzinger

Oliver Muthig
Business Expert
oliver.muthig@concedro.com

Carsten-Goetzinger

Florian Gutglück
Data Scientist
florian.gutglueck@concedro.com

Our team is looking forward to consulting you.

Our team is looking forward to consulting you.

Armin-Binsteiner

Armin Binsteiner
Ansprechpartner Vertrieb
armin.binsteiner@concedro.com

Carsten-Goetzinger

Oliver Muthig
Business Expert
oliver.muthig@concedro.com

Carsten-Goetzinger

Florian Gutglück
Data Scientist
florian.gutglueck@concedro.com