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.

Emails are special for the marketers as they have the power to create valuable personal touches to a broad audience.

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The influence of social media on human lives has been increasing with the pandemic.

Social media analytics allows brands to most effectively learn what their audience cares about and what influences their purchasing decisions.

Pricing is the ultimate key to increasing profits

Cannabis industry is one of the emerging and promising industries.

As better tools and systems are becoming available everywhere with the years passing by, the potential for an enterprise to explore Big data analytics is constantly increasing.

Learn all about how advancements in data can revolutionize home health care, possible use cases and what benefits can businesses expect!

Know all about how data analytics is set to disrupt the bidding process, how AI based bidding works and how Google uses analytics in bidding.

Running a Glue Job first requires defining the job to specify the source location, the transformations that be done to be done on the source, a target location, etc. It is very similar to any other ETL tool if you have used any.