Control Your Data Quality
In recent years a record number of fines have been handed out by Ofwat to water companies, primarily due to the underlying issue of poor-quality data and a lack of understanding as to its flow throughout the organization. The consequences were not only financial penalties and compensation to the customer but also caused major reputational risk to the industry as a whole resulting in a complete breakdown in consumer trust. In a combative mode, the regulator has produced its most challenging Price Review yet (PR19). Understanding data flow is now a mandatory part of a water utility’s business and cannot be ignored.
Be proactive. Act now.Take ownership and responsibility for your data obligations.
- The data flow is not fully appreciated, creating data quality issues
- Not knowing the true path of data could lead to unreliable reporting to the regulator and inaccurate pricing to the customer
- Lack of understanding of data can lead to inefficiencies and potentially unnecessary expenditure
- Using inadequate tools such as Excel and Visio to map data landscapes can become overwhelming and chaotic
- Non-compliance to regulations can lead to heavy fines and irreversible damage to reputation
- Water companies are reliant on the knowledge held on an individual and the lack of standard controls has led to inconsistent record keeping
- Transformation projects are often hindered by the lack of understanding of data classifications and compliance officers are forced to take the hardest line of interpretation, leading to stagnation
- Implement a data governance model across the organization to ensure an enterprise-wide agreed approach to data management
- Integrate and automate data lineage to better understand organizational data to improve confidence in business reporting
- Accurate and timely compiling of metadata in one managed system to understanding the purpose of data assets
- Help drive business decisions through better transparency
- Data lineage allows for better insight of data to help identify strengths and weaknesses in performance
- Reduce “fire-drill” reporting through better data understanding to limit the disruption on day-to-day business operations
- Demonstrate consistency, governance and control with data lineage, while allowing for faster change and transformation.
WHY DATA LINEAGE
- Reduce Cost: Share knowledge internally to help break down silos and gain better business insight, identify redundancies, streamline process and reduce cost
- Mitigate Risk: Systematically identify poor quality data to reduce business risk by highlighting where potential issues may arise
- Regulate Change: Support businesses in their efforts to reduce the burden of regulations by providing operational transparency
utility company achieve a single view of the truth, identify gaps and remove bottlenecks in processes and controls
“We’re very excited to be working with some of the biggest and most iconic data partners in the world – Google and Solidatus – to help transform our data for wider use.”Peter Jackson
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“Best Data Governance Solution”, DMI Awards 2020
“Game changing”, Gartner Review
Award-winning Solidatus is empowering enterprises globally to accelerate their understanding and optimization of their data and organizational processes. The Solidatus methodology for digitally transforming organizations to be data-centric and lineage-enabled is changing how businesses discover, document, map and manage their data.
Solidatus is a member of the EDM Council.