Enterprise Data Analytics

As the digital transformation of traditional businesses continues to grow, so do their data assets. These need to be used to gain new and deeper insights into business processes. This way, possible correlations can be discovered.

In the companies that have come into the world digitally (Amazon, Google, Facebook, etc.), the technical tools and processes have emerged that can now be used for the holistic view of all data accumulating in the company.

All services at a glance

Enterprise Data Analytics

Your company’s data is full of untapped potential. We help you identify hidden correlations, make better forecasts about business performance, and present analysis results in a way that makes them easy to understand at a glance—whether as a dashboard, report, or ad hoc analysis, on a computer or tablet.

The result: more informed decisions, faster insights, and a data culture that takes root throughout the entire company.

The following questions are central to this process:

What data is actually available within the company?
Which of these data sets have not been used at all—or only sporadically—for enterprise data analytics?
How can the data be used to make better predictions about business performance?
Are there hidden correlations between these data points, and how can they be identified and consistently leveraged?
What results can be expected if certain parameters are changed in analyses and additional aspects are included?

Our offer: Workshop "Impulse Enterprise Data Analytics

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Business Intelligence

Here are some of our successful Business Intelligence use cases:

Implementation of a risk and portfolio management solution for a financial services provider
Implementation of a BI and reporting solution for the statistical data warehouse of a specialized bank
Implementation of a network analysis and alerting system with geovisualization for an energy provider

Our offer: Workshop "Impulse Enterprise Data Analytics

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Data Engineering/ Governance

A trend is emerging across many industries and sectors: business transactions are becoming increasingly smaller in scale but occurring with greater frequency. This presents companies with the challenge of generating results more quickly so they can respond appropriately. Existing data warehouse (DWH) and business intelligence (BI) systems often prioritize stability and are therefore perceived as slow to adapt when it comes to addressing new requirements.

The data lake concept can address this issue, as it is highly flexible and allows end users to access data at a very early stage. Subsequently, these insights can then be integrated into company-wide reporting. Thus, the combination of a data lake and a data warehouse can meet the requirements for flexibility while maintaining stability.

Datasense Consulting has a concept for equipping the data lake with the appropriate technologies according to the client’s individual needs. In doing so, we take into account not only the data requirements (volume, processing speed, variability, access security, etc.) but also existing expertise, technologies, and infrastructure, as well as the financial framework and implementation timeline.

Business Intelligence use case from Datasense Consulting:

Consulting for a telecommunications service provider seeking vendors for big data pilot projects

Our offering: “Enterprise Data Analytics with Data Lake” workshop

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Data Science/ Predictive Analytics

Aus Ihren Daten wird neues Wissen

Wir entwickeln maßgeschneiderte Modelle, die Zukunft vorhersagen, Kundengruppen erkennen und datenbasierte Entscheidungen ermöglichen – von Trendanalysen über Risikofrüherkennung bis zu Empfehlungssystemen. Dabei fließen bei Bedarf auch externe Datenquellen mit ein, etwa Wetter- oder Klimadaten für ein Predictive-Controlling-Projekt.

Unsere Data Scientists und Data Engineers arbeiten eng mit Ihnen zusammen: Sie kennen Ihr Business, wir bringen die passende Methode – ob neuronales Netz mit Deep Learning oder klassische statistische Regression, je nachdem, was für Ihr Ziel den besten Aufwand-Nutzen-Effekt bringt.

Unsere erfolgreichen Anwendungsfälle:

Predictive Maintenance
Customer Churn Prediction
Live-Assistent zur Produktionsoptimierung
Analyse von Bewegungsprofilen
Netzoptimierung für einen Telekomanbieter

Unser Angebot: Data Science Workshop

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Referenzen

This is what distinguishes us from others!

With enterprise data analytics, we see the holistic approach and also implement this together with our customers.

We assume that most companies already have solutions for data analytics in use in the various areas. We take care to use existing solutions and know-how and to extend them with the necessary components so that the requirements can be implemented and the goals achieved.

We do not pick out individual hype areas, but combine existing components with the achievements of Big Data and Data Science.

We understand that Big Data and Business Intelligence have different approaches, but we also see many similarities. And we want to use the best of both worlds for the respective use case.

Especially for asset-managing financial institutions, DataSense Consulting has a modern solution for risk and asset management.

Arrange a free & non-binding consultation

Together we will clarify your needs and you will receive a detailed offer

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