Incorta’s unique, open approach brings speed and scale to complex data to power an AI-driven future.
For nearly a decade Incorta has specialized in helping organizations unlock the full potential of data from multiple complex source systems. In 2023, Incorta has once again been recognized in the Gartner Magic Quadrant™ for BI and Analytics, and we are thrilled to be among this small group of vendors.
Businesses today continue to grapple with the aftermath of the pandemic and the havoc it brought to the global economy including the lingering hangover from supply chain disruptions, new work models, a stubborn inflationary environment and higher cost of capital, they’ve been forced to find new ways to become more efficient, bring down costs and do more with less resources.
Here are a few thoughts on why we believe Gartner recognized Incorta again this year in its Magic Quadrant report for BI and analytics as a Niche Player, and what makes Incorta unique to earn this recognition:
Adapt or evaporate
Business agility is a competitive edge. It can help you improve your offerings, grow market share, bring down costs and drive innovation. And a vital component of bringing agility to your business is your data and analytics strategy. So, how do you bring this agility?
The speed of converting your data into usable intelligence needs to be faster than the speed of your business operations. Imagine if you need visibility to hourly sales reports to optimize your inventory, manage order lead times and meet customer demand. But because of data access, data volumes, technical limitations, manual processes and other complexities, the report is generated once a month. When finally delivered, you learn you’ve been out-of-stock on your most in-demand products for three weeks in your top 10 markets. That’s not even the worse news. Your customers will churn out and simply find an alternative until you can respond fast enough to their demands.
This is where Incorta’s insanely fast open data delivery platform can help augment your data management ecosystem and bring agility to your business. By updating billions of records from complex sources in minutes, the latest sales data is available to you instantly so you can quickly make inventory adjustments, identify trends in sales as they happen and pivot to take advantage of new opportunities ahead of the competition.
Be ready to scale
There is so much data. Organizations today have scores of data sources, with billions and billions of records, from different lines of business, different applications, multiple ERPs, and platforms. With the mirage of the “single source of truth” all but gone, and expensive workarounds or stitching together spreadsheets no longer a viable option at scale, data leaders are looking for a different approach to access, combine and enrich multisource data for analysis without giving up performance. At the same time, IT leaders are looking to ensure data governance and security compliances are not compromised.
Incorta takes the unique approach of keeping data in its original form and using its unrivaled mapping technology, Direct Data Mapping™ to make granular visibility to 100% of source data possible, even with billions of records and multiple sources of data. And since security parameters are inherited from metadata, the risk of data compliance issues is mitigated without additional effort.
This effectively ends the tug-of-war between managing data access and maintaining security standards. With access to transactional data at scale, data practitioners and consumers can freely explore, drill in any direction, ask new questions and get verified, trusted insights for collaboration.
Open to an AI-driven future
The arrival of AI tools like ChatGPT and Bard has brought a tsunami of ideas, use cases, innovations, criticisms, debate and even fear as everyone speculates on its evolution and impact on business, society, and economy alike. While much has been said over the last year, it’s merely scratching the surface of how disruptive and transformational it will be.
Data is one of the two foundational components, the other being compute, to fuel the evolution of AI and machine language models. While some narrow AI algorithms may require smaller datasets, others that are looking to solve very complex, real-world problems will need large amounts of data to train and make accurate predictions about the future. Leveraging your organization’s data at scale to work with AI can reveal relationships, patterns, and insights not previously visible and bring a higher level of forward-looking certainty to business decisions.
As part of a modern data stack ecosystem, an open data delivery platform offers the flexibility and interoperability to easily integrate and work seamlessly with other systems, power your AI and ML initiatives, automate workflows, and elastically scale to meet business needs.
Download a complimentary copy of the report here.
Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, Kurt Schlegel, Julian Sun, and 8 more, 5 April 2023.
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