Big Data

Big Data: Obtaining Business Value from all the data available to you

At Strateq, we are about CONNECTING 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

Traditional vs Modern Analytics

1. Tradisional Analytics

2. Modern Analytics

IT

Gather Requirements

Design Model

Build Database

Collect Data / ETL

Report / Dashboards

Answers

2. Modern Analytics

Modern Data Lake Architecture

Types of Analytics

Past

What happens and why?

Diagnostics

- Historical Data.
- 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.

Future

What might happen?

Predictive

- A glimpse into the future.
- 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.

Real Time

Current data. Data streaming, alerts and notifications as soon as data arrives. Analysing and reacting to data as it happens. Based on algorithms deriving from historical data.

What is happening now?

Future

What might happen?

Decision

What should I do?

Past

What happens and why?

Present

What is happening now?

Predictive

Glimpse into the future. Using existing data + Machine Learning => Future Insights. Statistical models. Guess at the future. Making educated guess at likely results.

What might happen?

Prescriptive

Current Data. What decision is the most optimized for my business. Optimization Model Heuristics. Actions to be taken for predicted outcomes. Interrelated effects of each decision.

What should i do?

Diagnostics

Historical data. Data Aggregation and Mining Identify patterns and relationship.

What happens and Why?

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