Leading business enterprises generate volumes of data and often look for tools and technologies to survive in the data-driven economy. An enterprise data management framework paves the way for strategic storing and managing data for actionable decision-making. This data management strategy aims to eliminate data duplication, remove data silos, and ensure regulatory compliance, which ultimately improves operational efficiency. This whitepaper outlines the Data lifecycle management framework best practices, proven methodologies, and actionable steps to help business leaders, IT teams, and data professionals transform raw data into a trusted strategic asset.

In modern analytics consulting, client dashboards are far more than visual aids. They are daily decision systems that guide marketing spend, inventory levels, and multimillion‑dollar investments. Expectations are unforgiving: a single mishandled null, silent field rename, or overlooked row‑count mismatch can undo months of relationship‑building and trigger costly escalations. Across the industry, leaders report the same pattern: frontline teams rush to meet aggressive timelines, quality checks become person‑dependent, and senior managers burn the midnight oil in crisis huddles, tracing data errors that should never have left development. This is a common risk across data visualization and dashboards, regardless of the BI platform used.

In this blog, we are going to talk about our work in Recommendation Engines with a top cosmetic brand of one of the largest CPG companies in the world.

One of the things that people will notice after years of usage of a variety of beauty and skincare products is that big brands do not always deliver the results they promise.

Advancements in Data Analytics and Artificial Intelligence are set to fast track the Covid-19 vaccine development process.

Maintain a cost-efficient and agile supply chain is important in almost all the industries.

Cohort analysis enables businesses to channelize their efforts to obtain a deeper understanding of their customers.

I visited China as a part of the Indian Delegation on Big Data for International Big Data Expo 2017.

Consumer spending is a crucial aspect for any business, as one can produce only after knowing how much will be consumed.

Google Analytics and Salesforce are two on-demand business tools, many B2B businesses use both tools to optimize their digital customer experiences.

CRM Analytics, formerly Tableau CRM, is a cloud-based platform for combining data from multiple sources, creating interactive visualizations of that data, and sharing those visualizations across applications.

Salesforce reports and dashboards represent the analytical aspects of the CRM.