It makes no sense to automatically execute the best action if there is no need for urgence. Urgence originates when moving data needs to be analyzed in real-time for decision making.
Using real-time (un)structured data feeds (transactions, social media, IoT) will open new perspectives in running your business. Transactional data is normally well structured but still has to be aligned with the data structures used for historical data. Social media feeds will produce vast amounts of unstructured data in which the value still has to be determined. Data management and data governance remains key!
Due to governance reasons, data used in your decision making should be stored. So, in most cases, data in motion will ask for Big Data and Cloud solutions. We will support you with it!
Transactional data running through your ESB combined with streaming analytics will open real-time decision making for e.g., fraud detection and next best offer. Social media feeds will predict the evolvement of a situation or state using statistical models based on historical data. Combining all kind of data sources (DWH, IoT, social media) will lead to new solutions.
Data Warehouses are designed to store historical data. Big Data solutions need to deal also with (un)structured data. Distributed storage and distributed processing of very large data sets (Hadoop) is e.g. needed to cope with social media feeds. Our consultants will be of great help to configure a Big Data Platform and unlocking the data using Hortonworks or Cloudera.
Streaming Analytics will always be combined with predictive models and Complex Event Processing (CEP). Streaming is related to moving data to be analysed in real-time leading to real-time decisions. When the amount of data is vast, these kind of solutions will ask for a streaming analytics architecture. We have the skills and experience to guide you in this new domain.
Complex Event Processing (CEP) is normally not the domain of the Analytics architect but of the Integration Specialist. We have realized numerous solutions for BPM and CEP. Combined with our Analytics architects and data scientists we provide the expertise to help you in designing a Streaming Analytics architecture with the predictive models and event processing.