Are your Big Data Science and AI initiatives running as desired? No?

You might be facing the following challenges

Big DATA VALUE AND THE CHICKEN AND EGG PROBLEM

You are developing use cases for data driven scenarios. Your goal to become a driven enterprise is formulated. Maybe even your first prototypes are running. A return on data demonstrating Big Data Science Application is needed in production to justify further investment. Your current resources are too limited to reach beyond the current point. Releasing into a productive landscape is simply unthinkable at this moment.

Shortage of Data Science talent and skill and infrastructure

You hired great people. Your Data Scientists and Big Data Engineers are racing to get Big Data Science and AI foundations running instead of putting their efforts into productive analytics outputs. No Big Data Science Apps are live in production. Yet, there is already a fear that the lack of applied data driven scenarios and the missing return on data will lead to competitive disadvantages in the future.

Big Data integration, silo and quality

Big Data integrations take longer time than originally expected. Often this sums up to 80 or more percent of the work time to achieve a return on data. The Data Scientists and Data Engineers have challenges delivering value in their analytics due to lack of available data. Productive Big Data Science Applications on top of the data get postponed again and again. Meanwhile, project stakeholders wait for their return on data.

About us

We develop and maintain best practices and Big Data Science Apps (DSA’s). This way, we overcome big data challenges better and realize scenarios faster.

We co-innovate in partnerships to boost and maintain analytic Big Data Science Apps. You now can leverage big data development performance through our expertise and experience.

Public Examples of iunera DSAs

Demos available on request

Realtime News Analytics and BOT 

We mine mentioned crypto currency blockchain projects. Data gets sentiment analyzed and forecasts get computed in real time. In addition, reports are generated and emitted via a bot.

Reactive App behavior interaction

We analyze usage details and navigation paths in real time. Conclusions are then exposed via an API to hyper personalize recommendations for users.

Sales analytics
 

We analyze customer data to provide fine grained information to a partner. Based on this information hyper personalized offers are conducted. 

Your Use Case
 

Together, we get your use case running. 

How we enable your use case

Use case

Use cases are defined iteratively:
„think big, start small“

Data Sources
Data Requirements

We determine steps to access the necessary data.

Big Data Platform

We consider the infrastructure and platform, needed to run the use case.

Experience

We contribute with experience, pragmatism and fundamental computer science background.

Realism

We address challenges openly at the beginning. This makes it possible to overcome them.