Informatica Offers Four Key Strategies for Application Owners to Advance the Intelligent Enterprise

⇨ Becoming an intelligent enterprise offers the comprehensive visibility needed to understand the entire data value chain which includes data for analysis that aids in decision-making and drives business outcomes.

⇨ To transition an organization into an intelligent enterprise, Informatica prescribes four strategic steps for application owners like automating processes, connecting data, people and processes, and migrating legacy apps to the cloud.

⇨ Informatica's Intelligent Data Management Cloud™ transforms organizations into intelligent enterprises by harnessing data and AI to maximize the potential of their key assets.

Becoming an intelligent enterprise offers the comprehensive visibility needed to understand the entire data value chain. This includes data for analysis, which aids in decision-making and drives business outcomes. An intelligent enterprise focuses on continuous improvement within activities, teams, and processes. It also leverages automation to boost productivity by freeing employees from repetitive tasks, allowing them to focus on more valuable work.  

To transition an organization into an intelligent enterprise, Informatica prescribes four strategic steps for application owners: 

Connect data, applications, processes, and people. Organizations rely on a variety of applications, such as data warehouses, email marketing platforms, project management tools, and human resources systems, to achieve their goals. Managing these numerous apps often results in data and application silos, requiring considerable time and manual effort to navigate. Visibility into existing data sources is typically limited and accessing them involves complex authorization processes. The solution to this issue is to connect your SaaS and on-premises applications in real-time using out-of-the-box connectors and no/low code tools. This approach helps eliminate data and application silos, enabling seamless data connectivity. 

Automate end-to-end business processes. If an organization uses multiple applications with siloed workflows, completing complex end-to-end processes can require significant time and manual effort, negatively impacting productivity, collaboration, and operational efficiency. Users typically focus on their tasks within individual applications but transitioning work to the next person in a different application is often manual or overlooked, leading to missed assignments or deadlines. To resolve these issues, organizations need a tool that can quickly and easily create a sequence of tasks, business rules, and decision logic for end-to-end processes across multiple applications using no/low code tools. 

Migrate legacy applications to the cloud. Legacy on-premises applications often have rigid data models and workflows, struggle to scale with workload demands, and face challenges integrating with cloud applications. Transitioning to a cloud platform allows for rapid deployment of new digital experiences and supports advanced analytics that are impractical with traditional on-premises systems. However, simply adding cloud functionality to legacy applications increases technical debt and complexity. It is crucial to address data quality issues early, and an ideal solution should facilitate mapping legacy data models to cloud data models through automated data discovery and profiling. 

Integrate artificial intelligence (AI) to amplify its value through strategic blending and integration. Exploring the potential of generative AI (GenAI) can lead to high expectations for accelerating business transformation. However, scaling GenAI effectively requires robust data management capabilities. The quality of input data is crucial, as it directly influences the quality of the AI model’s outputs. To achieve better business results, organizations need a data management solution that allows for quick and easy discovery, cataloging, and delivery of high-quality data for AI and analytics. 

Robust cloud data management and integration are essential for visibility across a company’s data value chain. They support informed decision-making, improve team processes, enable new workflows, and boost productivity by automating mundane tasks. Informatica’s Intelligent Data Management Cloud™ transforms organizations into intelligent enterprises by harnessing data and AI to maximize the potential of their key assets. With IDMC, organizations can make the necessary moves to become an intelligent enterprise.  

Learn more about how application owners can drive the intelligent enterprise, here.