The proliferation of data sources and increasing security risks are examples of how enterprise data management is becoming increasingly complex. However, this does not reduce the data access needs of business teams. On the contrary, they are increasing.
Companies are therefore faced with many challenges:
- Simplifying the information system and strengthening the repositories
- Supporting data experts while protecting operational data
- Adapting IT to a changing ecosystem & remaining interoperable
- Bringing autonomy to all departments
- Guarantee security and good data governance
- Equip teams in a context of limited budgets
Contraste can help you define better data governance and secure your information system through the transition to data virtualisation. In this field, Denodo is the leading platform on the market.
What is Data Virtualization ?
Data virtualisation is a logical data layer that integrates all enterprise data across different systems. It manages all the unified data to secure and govern it centrally, and then deliver it in real time to business users. Unlike ETL solutions, which replicate data, the virtualisation layer leaves the data in the source systems and only shows an integrated view of all the data to users.
For the first time, a technology allows you to implement a data delivery strategy:
- Independent of the sources where you store and process your data
- Independent of the consuming applications
- Independent of the location of deployment
Data Governance and Protection
We provide advice on the implementation of the necessary steps for good data governance. We also support you on the definition of control committees, roles and responsibilities, policies or external control rules, security and privacy rules.
By providing a single point of access to all data, the virtualisation layer enables architects to centrally govern and secure data. Architects can control data governance to enforce strict access controls and it integrates with IdP, SSO and AD systems. It isolates critical source systems from users and applications to prevent unintentional data changes.
Data virtualisation abstracts disparate systems, allowing architects to migrate legacy systems to modern cloud applications without disrupting business operations.
Data virtualisation allows the separation of processing and storage from data delivery. It offers the flexibility to change the back-end without impacting the business.
Data virtualisation allows data architects to design modern architectures by abstracting the complexity of accessing data from countless sources. They are also able to adapt to rapidly changing business needs with agility.
It allows the adoption of predictive and prescriptive analysis using all available data.
It allows business leaders to make decisions quickly, be competitive and improve company performance, while saving money (sales report generation, team load, etc.)
Savings are related to faster development and test cycles (-80%), reuse of data services, better and earlier engagement with business stakeholders and faster profitability through data.
It also leads to savings in software licensing costs (applications, ETL, database, storage infrastructure).
Evolutions & industrialisation
We support your IT and business teams in learning how to use the solution, ensuring a high degree of autonomy.But if you need it, we're here to help.
Our team helps your company with the extension of the solution to other domains or new data sources, regular support of the teams so that the solution always meets expectations.
A team is also available at all times to help you solve technical problems or problems using the platform.
Easy access to data & productivity
With a zero replication approach, data virtualisation allows users to access information in real time. It is estimated that data access time is reduced by 30% compared to ETL.
All users have one place to access all data, which is available in a number of standardised formats from any mainstream tool.
Data Virtualization has been shown to deliver a 300% increase in end-user productivity. This is because it delivers real-time data so that business users can access the freshest data in the course of their normal activities.