In the quest of increasing production capacity to meet future demands E&P companies have embarked in the journey of re-developing their matured assets. This is enabled using several field development programmes that include in-fill drilling, horizontal drilling, underbalanced drilling and drilling unconventional reservoirs. These programmes require high quality offset well data along with real time data for better planning and execution to successfully manage drilling risk, reduce non-productive time and cost to achieve the field development objective.Historically a huge volume of operational data has been acquired from the large number of wells drilled. Data include well trajectories, casing points, casing analysis, drilling risks, drilling events, BHA performance, operational window, cost, time etc. Maintaining the historical offset drilling data systematically in a well organized manner is vital to unlock its business value and enable better drilling data analysis along with real time data. Technology aided programs such as collaborative well planning, geo steering, real time operations center, require offset well data integrated into real time data for integrated and optimized workflows during planning and execution. This includes building better engineering models and earth models. This paper discuss present data challenges and the approach towards building an Drilling Integrated Workflow Environment (DIWE) comprising of high quality drilling knowledge base, real time data enabled by data standards and the framework to support next generation well planning and drilling workflows.DIWE enables improved planning and execution by supporting integrated workflows that aim to mitigate drilling hazards, improve operational awareness, optimize well design, cost effective construction, and better well placement moving towards achieving drilling excellence