We can help regain trust in your reports by understanding the data lineage and provenance of the data feeding the reports and setting up monitoring mechanisms to ensure trust can be established. Our approach centres on the following key activities:

• Mapping your data landscape to understand how the data flows across your organisation and recommend architectural changes to help streamline the data flows
• Cataloguing the metadata for the sources feeding the reports and the calculations used within the reports
• Profiling your data with our data quality monitoring services to identify where poor quality data is affecting the reporting
• Helping you to set up a data governance framework in order for end users to understand who they need to speak to when problems are found
• Establishing a data quality improvement programme by analysing the root cause of data quality issues found and suggesting remediation action

There are many reasons for wanting to achieve a Single Customer View, including improving customer loyalty, increasing customer sales, improving decision making or for compliance reasons. Obtaining a single customer view is very rarely just a technology problem. It is imperative to evaluate your processes, people and technology as one, in order to achieve a single customer view. Our approach encompasses all three facets:

• We will work with you to understand your requirements, perform ‘As-Is’ analysis on your current processes, operating model and data architecture, and suggest a Master Data Management Strategy, incorporating:
  • Prioritisation of business entities and data sources which provide the largest cost/ benefit
  • Agreeing the match and merge policies for duplicate detection
  • Profile source data to understand the extent of the problem and to optimise our matching algorithms
• We can then deploy our Master Data Management data services to:
  • Cleanse and standardise the source data to make it easier to identify duplicates
  • Identify duplicates within, and across data sources, using our identity resolution matching algorithms
  • Manage the entity lifecycle to allow for the creation, updating, deletion and merging of entities
  • Manage hierarchies. For example: Managing parent/ subsidiary relationships between businesses
  • Create a ‘single best view’ of the data using our golden record services

Analysing the right data is much more important and valuable than simply collecting more data. We can combine all customer data sources into a single customer event stream that will allow you to predict customer behaviour and build services that can automate certain decisions.

We can help establish a Decision Management framework that helps you understand what decisions are high value, and repetitive enough to be automated. This allows us to focus on ensuring the right data is available for these high-value decisions.

By establishing an experimental framework you will be able to understand the value of making different decisions through testing. This will allow us to work with you to optimise the decision services to provide greatest value.

Our tried and tested data migration approach will allow us to tailor our data services to meet your data migration needs. We will conduct an initial Discovery phase to produce the following deliverables:

• Data migration strategy: A document that explains how the migration will be performed including the cut-over strategy
• Profile reports of the source systems along with recommendations for any pre-migration cleanse activity required
• Source-to-target mappings detailing the transformation logic required to migrate the data into the target system(s)
• Data quality gateway standards that will govern what source data will be migrated into the target system(s) and rejecting data that does not meet those standards

Once the discovery phase is complete we can leverage our Data Management services to create a data migration platform. The platform will enable us to:

• Cleanse the source data where required
• Match and merge duplicate data within and across source data sources
• Extract, Transform and Load the source data into the target system(s)
• Quality assure the migrated data ensuring the data is valid and reconciles with source

We will work with you to produce a Data Migration closure report that details the work carried out and the reconciliation activity undertaken to validate the migration was successful.

We can centralize your marketing data, map your customer journey and build a multi-touch attribution model from various customer event sources.

We will work with you to develop a number of attribution models to help your decide which is fit for purpose and enable you to answer the following questions:

• Which acquisition channels bring in your best customers and which bring in customers who cost you money by churning soon after?
• What’s the lifetime value of customers acquired through one channel compared to another?
• Which channel mix gives you the best customers, and are there channels that work together well to provide high LTV customers?
• What’s the effectiveness of your marketing spend on both acquisition and retention using your conversion and lifetime value models?

It's difficult to respond to GDPR subject requests due to a lack of understanding of where a customer's data exists within your systems. We can reduce your compliance risks by cataloguing your data and providing you with a single customer view.

In order to support GDPR compliance you must understand where personal data exists across your systems and have a single view of an individual in order to support their individual rights. We can help you achieve compliance by:

• Implementing a data governance framework that establishes clear governance processes and accountability. For example, how to handle Subject access and Right to be Forgotten requests
• Cataloguing your data so you know where personal data exists across your systems
• Implementing a Single Customer view that identifies duplicate individual records within, and across your systems

By implementing these foundational data management capabilities you will be able to support an individual’s GDPR rights in the following ways:

• The right of access: When receiving subject access requests our data catalogue will allow you to know which systems hold personal data. Our Single Customer View consolidates an individual’s data to ensure you can access all data held on them within the Single Customer View platform
• The right to rectification: Our data catalogue will show you where the inaccurate data item exists and the Single Customer View shows you which records need to be amended
• The right to erasure: Our Single Customer View consolidates an individual’s data to ensure you can remove that data from the appropriate systems
• The right to restrict processing: Our data platform can indicate if an individual has asked to restrict processing on their data for various processes. Our data services can respect the request by filtering the individual’s data where appropriate
• The right to object: We can suppress data within our data platform based on the individual's objection
• Rights in relation to automated decision making and profiling: Our customer insight engine can respect an individual’s request to be removed from automated decision making