Making the most of your data
Collecting data isn’t an end in itself. It’s the quality, accuracy and range of information you have, how you link it together and what you do with it that counts. Our data management software, tools and services turn raw data into a clear and accurate picture of your customers and their relationship with you. This information helps you make smarter and more profitable decisions across your business.
How data management drives your business forward
Improving the accuracy of your records, plugging gaps, reducing duplication and blending data from different sources gives you a complete picture. When you understand your customers more completely, you improve relationships, make the most of your partnership and can target similar customers.
- Manage risks: Offer the right products to the right customers
- Improve customer service: Deal with customers as individuals
- Deliver more effective marketing: Target communications accurately and avoid too many marketing messages
- Comply with regulations: Fulfil your compliance obligations
Profile
Spot data errors and rectify them
Up to date
Monitor your customers’ ability to afford credit as their circumstances change
Enrich
Boost data quality and fill gaps with data enrichment
Improve
Increase the amount of money you collect
Anticipate
Predict changes before they damage your business
Automate
Make your data collection more efficient
Key features of our data management solutions
Whether you want to spot and correct errors, eliminate duplication, fill gaps or understand your customers better, our data management software, tools and services will get the job done quickly and easily.
Get the most out of your data
Maintain accurate and complete records and translate raw data into useful information. Add to your records with external data sets.
- Access hundreds of data sources to enhance your records
- Automate form filling to save time and reduce manual entry mistakes
- Verify that email and postal addresses are accurate and complete
- Spot and remove duplicate records
Improve the quality of your customer data
Build a complete picture of your customers. Manage and enhance your data to find more customers. In some cases, our data quality solutions have increased an organisation’s marketable customer base by around 1 million contacts.
- Migrate data efficiently and rapidly
- Identify data errors before they damage your business
- Enhance and validate existing data with extra information
- Make sure data complies with regulations and prepare for statutory reporting
Bring together data
Identify 16% more duplicate records than with other data management tools. Link records so you can view all of a customer’s activity in one place.
Link records for a single view of each customer
Use Match Key personal identification numbers to bring records for the same person together and avoid duplication
Maintain consistent records that help you make confident business decisions
Rapidly deliver data-based projects
Deliver data-based projects quickly and easily, including data quality, data governance and data migration.
Analyse billions of records rapidly
Profile and analyse data from all your systems
Discover relationships across all your data
Turn analysis into working prototypes
FAQs
There are numerous skills required for successfully managing data. These include making sure data sets are accurate, complete and up-to-date; analysing raw data to identify patterns and forecast future behaviour; software knowledge and the ability to find, sort, clean and enrich data; keeping track of files and data sets; understanding database design; making sure data collection complies with data regulations; ensuring data is stored securely and that there are plans in place to deal with breaches of data security effectively.
Data management is important because it helps businesses make the most of the data they collect. Crucially, it helps them understand their customers better so they can communicate with them effectively and deliver successful marketing campaigns. Data management also ensures organisations comply with the law when they collect data, and that they store it securely to prevent data falling into the wrong hands.
Data management techniques involve collecting and auditing data for accuracy; filling gaps, removing errors and enriching records from external data sources; analysing raw data to turn it into practical information that a business can use to drive growth; making sure the data is collected and stored in a way that complies with data regulations.
Data management falls into many categories including governance, architecture, modelling and design, database storage and management, security, reference and master data, integration, documents and records, warehousing and business intelligence, metadata and data quality.
There are different types of data management software that cater to the different needs of organisations. Product data software allows business to store, analyse, correct and share product information. Master data management software deals with information central to a business and its operations, including accounts, employees, regulations and more. Data warehouse software blends information from an array of different sources. Data modelling software allows organisations to adapt data in a particular format so it can be stored.
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