Realise the true value of your business data through effective data management, while successfully navigating data privacy regulations in the Cloud.

ECS helps customers understand their data estates; manage their data lifecycles; and provision data effectively. By 2020 we will be generating 43 times more data than in 2010.

Over 80% of this data should be subject to corporate data governance. Digital initiatives and analytics focuses attention on data value, while increasing regulatory compliance keeps attention focused on risk.

Advancing storage technology, including Cloud-based storage, has reduced the cost of accumulating data and facilitates data growth. It also adds to the complexity and diversity of increasingly dispersed data estates of predominantly unstructured data. Almost 80% of businesses recognise that customer data drives most sales decisions. Despite this, nearly 60% are aware they leverage only half of their valuable data.

Many businesses struggle to understand how to assess and control their data estates. Governance challenges include issues of scale, duplication, relationships, integrity, analysis, retention, deletion, retrieval and encryption.

Significant penalties and damage to reputation can occur because of inadequate data controls.

Breaches of the EU

General Data Protection Regulation (GDPR), for example, will carry fines of up to 4% of global turnover. Despite this, 20% to 80% of companies do not understand the impact of data privacy regulation, fewer than 30% have classified their data assets and over 20% remain resistant to doing so.

The ECS data management services enable customers to build a clear, high-level catalogue of their data estate and the associated data lifecycles. They allow businesses to establish and realise the true value of information assets through accurate data profiling of the data estate and by establishing cogent control of their data lifecycles. They can also enhance and accelerate testing services via test data management.


With ECS data profiling, businesses gain confidence and accuracy around what data is stored where. Commercial or personal sensitivity is highlighted and value is assigned across the data estate as follows:

  • Business value – aligns data with its utilisation and use in business applications
  • Impact value – assesses impact on relevant service measures or indicators (e.g. KPIs, SLAs, OLAs)
  • Collection costs – of acquiring data and remediation requirements from potential data loss
  • Storage costs – for the relevant data (location, volume, rate-of-change and variety-of-use).

The above can be complemented with an assessment of data quality management practices.

Benefits include:

  • Enhanced compliance – by knowing where sensitive data exists across the data estates
  • More successful IT change – by clarifying data impacts and changes to and from relevant services, including the Cloud
  • More profitable data – by managing the data lifecycle to optimise data costs and value across the estate
  • Accelerated testing –through rapid, secure provisioning via data virtualisation and masking techniques, on or off the Cloud
  • Improved analytics – by better understanding and provisioning data to allow compliant analysis.


Its important to assess how, sensitive, data changes value during its lifecycle. Data cost and risk should remain firmly aligned to business value.

Deficiencies in data lifecycle management can lead to:

  • Excessive storage costs
  • Impacts on performance, resilience or security
  • Difficulties in compliance management
  • Poor visibility of data value.

The data lifecycle will typically go through 5 stages:

  1. Collect – from many sources into the data governance remit
  2. Store – for immediate or longer term use
  3. Use – for one or more business purpose (in development, testing or production)
  4. Expire – when business value depreciates
  5. Erase – comprehensively and safely.

As data passes through the lifecycle we expect its value to decline. However, associated costs and risk will tend to exceed the value. As data volumes climb, this effect is compounded. By leveraging data profiles and concentrating on data assessment, expiry and archival/deletion, ECS works with customers to realign cost and value across the data lifecycle, ensuring data value always exceeds data cost.


The data lifecycle interacts at multiple stages across the development lifecycle. Focus on production data management is always a priority, but test environment data can be equally costly and will have a significant impact on test effectiveness.

ECS partners with customers to establish a Test Data Management function that accelerates testing by ensuring the right data is available in the right place at the right time.

Aside from the extended data functionality and security, benefits include: reduced storage costs; end-to-end single point- of-contact; production-quality data; on-demand scalability; self-service functionality; and faster deployment times.

Our experience in Cloud adoption and strong heritage in enterprise-scale migration initiatives means we’re ideally placed to support your enterprise Cloud adoption.