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.
