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 today's data-driven world, organizations are continually striving to extract actionable insights from their data to drive informed decision-making.

Qlik Deployment Framework (QDF) is a collection of methodologies, best practices, and tools designed to facilitate the efficient deployment and management of Qlik Sense implementations for business intelligence purposes.

Sales budget, production budget, marketing budget, the production mix, expansion plans are all built upon the numbers given by the sales forecast

Online marketing has become a core part of the marketing strategy and it is expected that the new media channels of the day will continue to grow in importance.

Spatial data has given a huge opportunity to organizations in critically analysing software usage and expanding their customer base.

Change in market trends and consumer preferences can be highly random and unpredictable.

In most industries, majority revenue is collected at the time of purchase.

One of the biggest challenges of companies across the globe is customer retention.

A business flourishes when it can increase its profits, which is possible only by keeping track of revenue and focusing on ways to increase it.

As the amount of data collected in the world increases, so are the problems related to it!