How we developed an advanced marketing attribution model with real-time sales data for our client
In this case study, we explore why and how we developed an advanced marketing attribution module with real-time sales data.
Empower your Business with Big Data
Store, organize and analyze your customer data with data analytics
Data Analytics is one of the biggest assets for organizations in the digital age. Most organizations today are dealing with a problem of data, not the deficiency of it but, the excess. Having a lot of data is a good thing, but it creates disparate challenges for storing, organizing, and analyzing this data.
Our Data Engineering services help organizations to get through the maze of data sets and find efficacious information. As a result, this can help you understand different aspects of their business and help in the decision-making process.
Starting with a strategic assessment of your business and data, we help you build an organizational data strategy that aligns with your goals. Our consultants work with you to design an efficient data architecture that optimizes the storage and flow of the data and takes into account scalability and security. We also assist you in choosing the right tools and technologies for storing, warehousing, ETL, retrieval, and analysis of the data.
Our Data Analytics offering helps you to extract the key performance metrics, identify issues, monitor progress, and derive actionable items essential for your organization. We facilitate the structuring of your data into meaningful datasets that could produce the information gems required by your analysts. Dashboards and reports are built on these datasets and predictive analysis is done using data mining, modeling, and machine learning.
We provide data design services to help you structure your data for optimum utilization. Our process starts with understanding your data to build an optimized database design and structure which focuses on performance, consistency, integrity, and security. We help you choose the right platform for your application needs taking into account scalability. As a result, you can accommodate future growth and redundancy planning for business continuity during disasters.
In this case study, we explore why and how we developed an advanced marketing attribution module with real-time sales data.
The management was able able to seamlessly make business decisions with the help of more insightful reporting. A centralized dashboard helped improve business intelligence for the company.
A Dashboard in Sugar is built consists of various Dashlets, which allow users to view specific data, insights, and useful visualizations.