Accountability Around Your Data Lifecycle is the 'How' of Effective Data Governance.

Every data governance adoption starts with recognizing the problems plaguing your data environment and the end in mind.

Data Governance is a journey of a thousand miles. But the success of your adoption truly lies in ensuring the bedrock of your adoption is built on trusted accountability across your data lifecycle through ownership of data used across your organization for business generation, analytics, reporting(internal/external), and more.

Establishing accountability and responsibility for managing your enterprise data across its lineage from creation to consumption is the best way your organization can rightfully ensure that the proper authorities are defining use, determining quality standards, and remediating data issues to enterprise standards.

Why Accountability?

·  Accountability drives the seriousness of every organization's intent to be proactive with the health and vitality of its data.

·  Accountability prevents your data governance execution from crawling and failing to deliver promised values.

·  Accountability puts a structure in place around your governance and promotes cross-functional collaboration.

·  Accountability drives the establishment of roles & responsibility to ensure every data citizen rightfully know their roles and expectations around the data they engage across the data lifecycle, either as a provider, an aggregator, or a consumer.

·  Accountability around data management activities promotes execution success.

·  Accountability provides order and oversight around governance and stewardship in motion to achieve needful cultural transformation in a data-driven environment.

·  It provides tangible KPIs for an organization to measure its governance progress, success, and data maturity.

How To Achieve Accountability Around Your Data Lifecycle?

Here are some practical tips for establishing accountability around your data lifecycle:

·  Foremost, your data leaders must recognize the establishment of accountability across the data lifecycle as the life-wire of your data success.

·  Roles & Responsibilities identification, engagement, and ratification must be part of your governance execution strategy.

·  Build communities of stewardship and due diligence around every phase of your data lifecycle. Ensure quality and controls are established, validated, and maintained throughout the data lifecycle and the data journey (from authoring to consumption).

·  Formalize every data role to ensure active and ongoing standards of care are maintained across your data journey

·  Advocate stewardship culture around the enterprise data asset as everyone's business.

·  Train, equip and empower your data citizens in their roles and responsibilities along the data value chain.

·  Define KPIs for each data role and tie it to each candidate's annual performance evaluation.

·  Share KPIs with each candidate and set rightful expectations they'll be measured with as part of their performance appraisal.

·  Develop a cadence to perform periodic review and attestation of your cumulative responsibilities

In a nutshell, the seriousness of establishing accountability around your data journey is your key driver to win and keep winning with your data governance adoption journey.

Need some help establishing accountability around your data governance adoption with effective roles and responsibilities activation?

Book a (free) discovery call with me to discuss your challenges, and we can explore some simple strategies to actualize your desired goals.

https://calendly.com/lara-gureje/30min