The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge.
Enterprises with multiple systems and databases often face difficulties in reconciling from different sources of data and provide a holistic view of data. With information silo’s it becomes nearly impossible to serve a single point of data-based truth to all members of the organization. For example, sales may rely on a different platform than marketing, which may rely on a different software solution than the customer service team. Acting on different data between departments can cause confusion, loss of productivity, and ultimately hurt the bottom line. Another major challenge which businesses face is the freshness of the data since they require time to churn and mix various data points, they often lose valuable time to action.In an ideal world, an enterprise would have a ‘single source of truth’ — an information architecture in which each data element is stored only once and can rely on a golden record but in the real world, with a proliferation of legacy applications and systems, an SSoT may not seem feasible. Big data provides a cost-effective way to store various kinds of data formats and also the processing capabilities to perform various kinds of cross data analytics. But the journey isn’t that simple, organizations find it difficult to adopt and implement big data architectures for reasons relating to legacy, shortage of skills, and time achieve business value. We help you attain the ideal state by re-engineering your data pipelines to match your modern data requirements.