Analytics is on everyone’s radar, but the process of incubating and implementing analytics can get noisy. In the spirit of helping fellow practitioners cut through the noise, we have defined an e-Book that outlines a process model to define analytics across a spectrum of governed data and analytics using real-world examples.
The e-Book is designed for thought-leaders and practitioners at all levels. For those already immersed in the world of analytics, the e-Book will offer fresh perspectives on how analytics come to life. For analytic newcomers, the e-Book promises to provide real-world working examples primarily from the life sciences industry (though the process model is industry agnostic). The overall goal is to make the process of defining analytics more user-friendly, scalable, and achievable.
The following is an excerpt from the e-Book. The excerpt highlights a central theme to the process model – that analytics span a continuum of semi-governed and governed data & analytics:
Excerpt from our E-book
Data alone does not qualify as analytics. Data must be stewarded curated, prepared, integrated, enriched, visualized, and accessible for it to provide analytic utility. Each step in the analytic chain operates along a continuum of governance awareness. For instance, if an analytic use case requires precise details that are reported to investors or published in a quarterly report or submitted to the FDA during Phase 3 of a clinical trial, then the data and the analytics must be fully governed. Other use cases occupy a happy medium, such as allowing business users to combine sales with promotional spend – two governed data sets – in a self-service, semi-governed manner.
Based on this understanding of data and analytics, a continuum of governance-awareness is formed that covers 3 scales, and establishes boundaries throughout the analytic process model:
- Semi-governed data & Semi-governed analytics
- Governed data & Semi-governed analytics
- Governed data & analytics
NOTE: Semi-governed data & governed analytics is not suitable for any analytic use case, hence we have a continuum and not a quadrant.
The Continuum of Governance Awareness
It is unrealistic to expect IT to scale to support the growing data sets required by analytic use cases, and at the same time support the governed data sets required by everyday business operations. Thus, IT’s mission should not be to govern all data, but rather to establish authoritative governed data sets that can be aligned with semi-governed data, and focus on enabling technologies and platforms that allow sanctioned access and use of data by qualified, trained business users. In other words, IT should focus on building user-friendly self-service analytic capabilities, not building an army to deliver analytics.
We hope it’s clear the helpful nature of this e-book. It not only sets achievable standards for collaboration between IT and business, but it also provides models that can be customized for your own organization. To see more of this content, you can download our e-book now by clicking below. We hope you can utilize it for your benefit!
Read more from our E-book here: https://hawkinspointpartners.com/defining-detecting-analytics-e-book/