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.

Rajasthan is the largest state in India – in terms of landmass and also happens to the number 1 state in terms of consumption of Desi Ghee (Clarified Butter).

Incremental loading runs periodically after the initial loading of data and it loads the updated data(Delta data).

To end it I will be covering how to check the logs in “Cloud Watch” in case the Glue Job fails.

Often identical data entries are stored in the same data storage system or in different systems due to human errors and limitations of the data entry systems, resulting in duplicate data being produced.

Channel Sales Marketing is a process of tying up with third parties to get company products into the end user’s hands.

Today, the market is flooded with numerous BI or Data Visualization tools (viz. Tableau, Power BI, QuickSight, Looker, Google Data Studio, QlikSense, etc and not to forget Excel as well). Businesses have to deal with the decision of choosing the right tool based on their need by looking at the costs, maintenance, ease of use, development efforts, capabilities & functionalities, etc.

Big data analytics is revolutionizing the Jewelry industry by optimizing inventory, forecasting sales, accurate customer segmentation, etc.

Customer Retention is equally important as Customer Acquisition.

Data is the new decision-making language, and when used effectively, it can totally transform how a business functions.

Software as a Service, or SaaS dashboard is a powerful business tool that can provide a quick snapshot into the health of your business