Data Insights Introduction

Data plays a vital role in every industry. By making good use of the data you possess, your organization can gain an edge. However, it’s common for companies to not use the precious data they have. This primarily happens due to a lack of knowledge of the importance of data, the role of data, data harvesting, and data analytics. Learning about the importance of data in your organizational context should be the starting point when wanting to create better business outcomes using data.

What is the Value of Data? 

Data is extremely valuable, but why? First, data is plentiful - it is literally everywhere, just waiting to be harvested and analyzed. Second, it is also reusable - generated once, it can be reused multiple times for a variety of uses: information analysis by business analysts, analytical models, etc  

Other benefits that support the high value of data:

• Data gives companies a better understanding of their market; 

• Data collection improves consumer databases; 

• Data improves marketing strategies; 

• Data enables companies to create more personalized customer communications. 

Small data is just as important as big data. Your company should also be looking into making use  of small data analytics in an effort to create highly personalized experiences for both your internal and external customers.

We work collaboratively with your organization to perform a detailed delivery roadmap, evaluate data architecture options, solution cost and implementation schedule, to deliver on the benefits analysis. This translates into the business case that informs your request-for-proposal, your total funding requirements and the resource team required from your internal organization to deliver on your project.

Our objective is to support your decision-making process, aligned a solution with existing investments, ensure that you get the best deal from software and implementation vendors and manage delivery, to save you from an ”over promise / under deliver” scenario.

Our Services:

Data Analysis

• Analytics and Data Maturity Evaluation

• Data Strategy Roadmap

• Data Governance

Data Architecture

• Data Architecture and choice of Technology platforms (Azure, GCP, etc.)

Data Warehouse Implementation

·        Data Warehousing built

·        Standardization management

·        Metadata management

Ongoing Data Management

• Data Analytics & Reporting

• Data Quality management

• Data Life cycle management