It’s no secret that data is growing exponentially as organizations progress on their digital journeys. To achieve success, Chief Data Officers and Chief Information Officers need to drive a data-driven culture and demonstrate that they can monetize the value of their organizations’ data.
Their organizations are generating, capturing, and storing more data than ever before, and they struggle to find mission-critical information and lack the solutions needed to turn data into valuable insights and drive business outcomes.
Positive outcomes require delivering information that is trustworthy, consistent, and protected – at the speed of business. Yet a plethora of organizations have consolidated a mix of disparate data tools over the years – and these systems can’t facilitate their need for data readiness to deliver delightful experiences that customers crave.
And as we move towards an increasingly hybrid and multi-cloud world, with larger, even more, complex data sets, data integration becomes even more challenging.
The objective is to achieve an outcome – data readiness – where cleansed, consistent, integrated, and highly secure data is delivered instantly, enabling IT teams to provide the data scientists and business analysts, already prepared for business analysis and action.
Use Self-Service Integration to Improve Data Readiness and Experiences
By turning data into useful insightful information, coupled with comprehensive application connectivity and responsive, custom applications, companies can easily manage, access, and safeguard organization-wide data, improve ease of doing business, and ultimately drive data transformation initiatives at speed and scale.
Data readiness can be achieved by using self-service integration platforms. It empowers business users with minimal technical expertise to leverage large volumes of data and gain useful insights for better decision-making and higher value generation. By offering a framework for a data fabric with the resources needed to output clean, consistent, trustworthy data prepped for integration, these solutions can facilitate improved business intelligence.
Features like pre-built application connectors, shared templates, AI-powered data mapping, and more can enable users to onboard, integrate, and use different types of complex, bidirectional data of customers in minutes instead of months. These functionalities play an important role in helping organizations make data connections and integrate new customers – securely and easily. Hence, with the help of these solutions, even non-technical business users can easily use data (even those data streams residing in silos) and alleviate data bottlenecks with automation and intelligence to deliver faster business insights with the quality that organizations can trust.
As business users get empowered to drive all integration-related tasks, IT users are freed to focus on more important tasks, driving innovation and growth.
By using self-service integration, enterprises can seamlessly integrate all forms of organizational data to achieve comprehensive integrated experiences, accelerating data governance and management.
How Does That Impact Existing and New Customers?
In the digital age, using legacy systems can do more harm than good. Not only do these solutions slow down data readiness but also impact companies value generation ability.
Self-service-powered data integration solutions allow organizations to make data useful and achieve data readiness, fast. This enables business users to comprehend customers needs and requirements and ultimately deliver delightful experiences.