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STRATEQ
BIG DATA
Big data comes in various structures, namely unstructured, semi-structured and structured. Without proper handling of the data, we are unable to generate useful insights to improve our business. The goal with big data should not be in creating more dashboards or reports, rather it should be to enable more automated, intelligent, data-driven decisions. At Strateq, we help organizations transform their raw data into trusted data that can be consumed
STRATEQ
Our Services
Big Data
At Strateq, we help organizations transform their raw data into trusted data that can be consumed
Types of Analytics
Past
What happens and why?
Diagnostics
– Historical Data.
– Data Aggregation and Mining identify patterns and relationships.
– Data Aggregation and Mining identify patterns and relationships.
Present
What is happening now?
Real Time
– Current Data.
– Data streaming, alerts, and notifications as soon as data arrives.
– Analyzing and reacting to data as it happens.
– Based on algorithms deriving from historical data.
– Data streaming, alerts, and notifications as soon as data arrives.
– Analyzing and reacting to data as it happens.
– Based on algorithms deriving from historical data.
Future
What might happen?
Predictive
– A glimpse into the future.
– Existing Data + Machine Learning = Future Insights.
– Statistical models.
– Making educated guess at likely results.
– Existing Data + Machine Learning = Future Insights.
– Statistical models.
– Making educated guess at likely results.
Decision
What should I do?
Prescriptive
– Current Data.
– Decision made is the most optimized for the business.
– Optimization Model Heuristics.
– Actions to be taken for predicted outcomes.
– Interrelated effects of each decision.
– Decision made is the most optimized for the business.
– Optimization Model Heuristics.
– Actions to be taken for predicted outcomes.
– Interrelated effects of each decision.
