To facilitate data-driven decision making, organizations need efficient methods to process large volumes of asserted data into meaningful comprehensions. We help organizations with the following various stages of big data analytics:
scrutinizes data and information to define the current state of a business situation in away that developments, patterns and exceptions become evident, in the form of producing standard reports, ad hoc reports, and alerts.
is about having the capacity to take precautionary actions on events that may undesirably influence the organizational performance, for example, identifying the possible perils and recommending mitigating strategies far ahead in time
is concerned with forecasting and statistical modelling to determine the future possibilities.
is about optimization and randomized testing to assess how businesses enhance their service levels while decreasing the expenses.
is about probing data to certify/reject business propositions, e.g., analytical drill downs into data, statistical analysis, factor analysis.
We enable organizations to deal with the plethora of challenges, some of which are a function of the characteristics of big data, some, due to the existing analysis methods and models, and some, by the limitations of current tools.
Process challenges are related to series of how techniques: how to capture data, how to integrate data, how to transform data, how to select the right model for analysis and how to provide the results.
Management challenges cover for example privacy, security, governance and ethical aspects.
