{"id":550,"date":"2019-06-11T22:48:00","date_gmt":"2019-06-12T02:48:00","guid":{"rendered":"https:\/\/www.softwareag.com\/?p=550"},"modified":"2026-02-12T12:31:34","modified_gmt":"2026-02-12T16:31:34","slug":"maximizing-the-value-of-adabas-natural-data","status":"publish","type":"post","link":"https:\/\/www.softwareag.com\/en\/blog\/data-integration\/maximizing-the-value-of-adabas-natural-data\/","title":{"rendered":"Maximizing the Value of Adabas & Natural Data"},"content":{"rendered":"\n

Any business looking to better connect with its customers has to be able to turn data into usable and actionable information.<\/p>\n\n\n\n

This is because data is now the most valuable asset in the world, and is the underlying factor in the success of any digital transformation initiative.<\/p>\n\n\n\n

Today, I\u2019m going to show you how the valuable data that is stored and processed in Adabas & Natural applications can fuel business intelligence, big data and artificial intelligence platforms to drive future innovation.<\/p>\n\n\n\n

In previous posts I talked about exposing Adabas & Natural applications as standard APIs and integrating IoT data with our Adabas & Natural core applications. Now that we\u2019ve covered these specific capabilities, it\u2019s worth taking a larger view on how to maximize the value of your data that is stored and processed in your existing Adabas & Natural applications. This includes making Adabas business data and IT operations data available for real-time analysis, deploying data-driven initiatives, and accelerating new application development.<\/p>\n\n\n\n

This is a big topic, so to break it down a bit, here are six leading ways you can make Adabas & Natural data part of your data analytics strategy:<\/p>\n\n\n\n

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  1. It is easy for applications to access Adabas data.<\/strong> You can integrate Adabas data via standard interfaces (e.g., API, SQL) or use out-of-the-box adapters for the analytics platform of your choosing, including business data and IT log data.<\/li>\n\n\n\n
  2. You can connect to one or many analytics platforms.<\/strong> Adabas provides multiple integration interfaces to optimally support data warehouse, data lakes, streaming analytics, and AI\/machine learning platforms.<\/li>\n\n\n\n
  3. You can prepare the data before it is analyzed.<\/strong> With built-in Adabas data transformation capabilities, your business can properly prepare data before it\u2019s analyzed, so you\u2019re drawing the right conclusions.<\/li>\n\n\n\n
  4. Event-driven applications can automate and accelerate business processes.<\/strong> With real-time event replication of Adabas data changes, your business can develop event-driven applications or analyze data streams \u201con the fly.\u201d<\/li>\n\n\n\n
  5. Data can live anywhere.<\/strong> You have the flexibility to share Adabas data with cloud environments such as AWS or Azure\u00ae to further extend your data processing and analytics capabilities.<\/li>\n\n\n\n
  6. Keep large volumes of data secure.<\/strong> Reliable integration technology can handle millions of data records and scale with demand while also maintaining data security standards to protect your customers and your business.<\/li>\n<\/ol>\n\n\n\n

    We\u2019re committed to making sure Adabas & Natural remains a core part of your business and contributes to digital transformation. Keeping Adabas & Natural at the forefront of value creation for decades to come is a major component of our Adabas & Natural 2050+ initiative<\/a>.<\/p>\n\n\n\n

    When you can bring your trusted, high-performing applications into the digital world, not only will you maintain performance and security, you\u2019ll also gain the benefits of digital transformation: business innovation, better decision making, optimized operations, and robust compliance initiatives.<\/p>\n\n\n\n

    Take a closer look at connecting Adabas & Natural with your analytics platforms to see how this is all possible today.<\/p>\n\n\n\n

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    Learn more<\/a><\/div>\n<\/div>\n\n\n\n
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