Businesses and organisations of all sizes can only run and operate because of the data and knowledge that they collect and store. This can be everything from customer cycle patterns to login locations, internal files related to policies and procedures and, almost any data that helps run and maintain operations.
As businesses expand, they typically require larger data silos and cloud solutions to collect, store and manage their data. Along with this, the type of data and the channels used to collect data continually expand.
Because of this, businesses face issues regarding the storage, access, security, and procedures relating to their own and their customer's data. This is especially true when it comes to governance and compliance issues across jurisdictional lines, such as privacy and data protection laws in the EU, the USA, and Latin America for example. Each region has its own procedures and sets of conduct related to data protection and how information is collected, stored, and viewed.
The solution to many of these issues is the use of a Data Fabric Architecture and its implementation across all channels of a business’s data network.
But what is Data Fabric? and how can it help businesses operate more efficiently, more securely, and within the confines of multiple jurisdictions?
This article will look at Data Fabric and how it benefits business operations of all sizes.
What is Data Fabric?
Data Fabric rather than being a piece of software or tool is a data management architecture that optimises access to distributed data. Whether it is a cloud, hybrid, or legacy system, data fabric automation and self-service delivery speed up many business processes while ensuring the correct actors receive the best information available, at the right time.
This comprehensive approach to how businesses manage their data helps create a better user experience and customer journey and improves business efficiency.
Businesses face major issues regarding the amount of data that they have and how to effectively use this data. Data Fabric helps to close this gap between information and its usefulness.
- Allows access to all data sources, types, and domain
- Takes a holistic approach to leveraging data faster, allowing for quicker use
- Enforces necessary policies business-wide; ensuring data is collected and stored appropriately and accessed correctly by users no matter their location
Closing the gap between available data and its usefulness ensures businesses and users receive business-ready data for analytics and AI. Data fabric can be viewed as an interconnection of all data sources and types creating a secure a legitimate pathway to the data across your entire business.
As businesses expand rapidly, they gather data from multiple sources and aim to use this data to increase efficiency and productivity.
Data fabric allows for ease of access, security, and the sharing and implementation of data and policies at a much faster rate than traditional siloed data hubs. Some research has shown that up to 82% of businesses are inhibited by data silos, showing the extent of issues that businesses can face
3 Businesses Benefit from Adopting Data Fabric:
As a creator of Data Fabric solutions, IBM has looked at three core benefits of data fabric integration for businesses. We will delve into these three areas and examine just how data fabric integration can benefit and influence your business processes:
1. Self-service Data Consumption and Collaboration
One of the core components of data fabric is the integration of data from different channels and its ease of access and use by the correct individuals. Self-service allows different teams and individuals access to data collected outside of their usual departments. This ensures the highest quality data is available when required. Having a single point of access to all data channels speeds up efficiency and the turnaround times of actions. Knowing where your data comes from and how it is protected ensures that only reliable information is used.
2. Automated Governance Contributing to Protection and Security
Businesses with data centres and information channels that cross jurisdictions face numerous security and compliance requirements. Such data networks need a robust system that can automatically assign the correct legislative procedures and protocols to data within their network.
Data fabric automatically assigns policy enforcement, providing both security and compliance across your network and within each country and region that you operate. Data is both protected and correctly accessed no matter the source of the data.
Multiple sources of data that meet all the necessary compliance standards can be utilised to increase efficiency and access when required. Personally identifiable information (PII) becomes easier to access and manage within a data fabric system.
3. Automate data tasks and data integration across hybrid cloud resources
Augmenting data integration through the use of metadata ensures that data access and delivery are automated and do not require additional coding or mapping. Automation accelerates data delivery, provides real-time changes and access to those who require it, while machine learning can improve data collection and integration processes.
This means all data, no matter the source, is facilitated and managed in the same way.
Using data fabric removes the tedious process many data engineers and managers waste countless hours on. Searching for numerous data sources, having the right software and tools to access this data, and remembering numerous access codes become null and void with data fabric.
Each source of data is managed and can be accessed within the data fabric framework. Cloud, hybrid, and legacy systems can all be utilised under the umbrella of data fabric increasing business efficiency, operations, and ultimately the customer experience.
Businesses that adopt a data fabric architecture benefit from automation, cross-border governance and compliance, and all channel access to their data. Machine learning and AI help process this data and provide the most useful and valuable information to users accessing this information.
By having the most secure, valuable, and business-ready data, businesses rapidly improve efficiency and the customer experience.