Enhance your data’s value with Data Enrichment Services

The benefits of data enrichment start with improved data quality, which extends and amplifies to include:

Increased automation and efficiency means lower costs

With a richer dataset, businesses can optimise their operational processes. Enriched data enables automation and functionality to work as it should in your ERP and CMMS systems, allowing your teams to focus on higher-value activities that require human expertise and your systems to deliver the value intended. In return, time-consuming and lower-risk activities get automated, allowing you to spend your resources in a better manner. 

Deeper insight & improved decision making

By enriching data with relevant external sources, organisations gain access to a broader context for their data, enabling more reliable data analysis and decision-making.

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Enriched context empowers your team and systems to identify and interrogate patterns, trends, and correlations for more deeply informed decisions that align with your objectives and operations goals, such as optimising automated ordering, minimising inventories, reducing lead time and more.

Reduce risk and increase compliance

A more complete overview of data for your assets and facilities reduces the risk of all types, whether operational, safety, legal or financial. A comprehensive view helps identify potential risks and vulnerabilities and apply strategies and actions to mitigate them.

For compliance, the challenge is ever-changing, with regulatory requirements becoming more complex across the world. Stringent rules and laws require maintaining accurate, up-to-date data to be available to prove compliance, which requires data enrichment as part of ongoing maintenance of your data.

Our process, developed over 30 years of operation, standardises data formats for consistency, adds missing input, and expands the number of fields. All of which makes your data more useful, valuable, and actionable.

Our data enrichment process includes steps that are tuned and adjusted based on your specific needs, which can be grouped as follows:

Step 1: Configuration & Data Assessment

·   We review the data structure and standards applied and configure our systems accordingly.

·   We load your existing data into our proprietary tools to quickly process and identify missing data based on field type and input requirements. 

Step 2: Summarise status & recommend enrichment activities

·   We create and share with you a detailed statistical overview showing the areas of weakness in your data. 

·   We recommend the fields where enrichment will give the most value and in which order to define with you the enrichment scope of work and plan for how to proceed.

Step 3: Identify data sources and enrich

·   Our team creates work packs and begins the enrichment process, using automation and specialist tools to identify validated data available from our data sources, such as our data lake of over 1 million verified equipment and parts records, and other relevant such as the source data.

Step 4: Quality assurance, validation and delivery

·   Before delivery, all enriched data is subject to a range of automated checks to identify any possible errors for further quality assurance evaluation by an expert. Only once all items are checked, amended if required and approved is the data then delivered in the agreed format and processed to load into your ERP or CMMS system.

Step 5: Status monitoring and update

·   As part of delivery, we also provide a detailed statistical comparison of the completeness and quality of your data before and after the enrichment activities to enable a datum to monitor against and also for defining further scopes as required.