Creating a Data Management Revolution

Creating a Data Management Revolution

This is long overdue.

Poor data quality regularly results in flawed AI outputs. Always. The results include misguided strategies and operational inefficiencies. This is particularly crucial for business-critical use cases like AI/ML, automated marketing, and regulatory reporting, where precision is paramount.

And you don’t want me to get started on the risks of ignoring data quality.

The risks are simply too severe. Failing to address data quality issues will have severe repercussions because inaccurate AI outputs will misinform business decisions, leading to strategic missteps and wasted resources. Furthermore, non-compliance with data governance standards will result in hefty penalties and damage to your organization's reputation.?

And we haven’t even touched the risk that data breaches bring, compromising sensitive financial information and eroding stakeholder trust.

Revolutionary solutions. Nothing less.?

But what does this mean?

? Real-Time Data Access

You must be able to ask complex, real-time questions. That means getting immediate answers by accessing all your transaction data and documentation. Nothing else allows for swift decision-making and operational efficiency. It is a mind-blowing experience to drill down into transaction-level data and realize that you can finally trust the data.

? Advanced AI/ML

You must be able to leverage AI to build and fine-tune predictive models using detailed transaction-level data. The outcomes not only include enhanced financial forecasting but also early risk detection and more accurate budgeting. You’ve got to be able to do more with less. In other words, what you don’t want to do is complicate the implementation process, drive up costs, and drag out the training and adoption process. A solid AI/ML system will offer you the ability to modernize your infrastructure and democratize critical data to all users.

? Data Security

Your platform must ensure robust data governance and security. Too many breaches and compliance issues are possible. You must be able to maintain full governance over data integrity, access, availability, and security, while simultaneously having access to unlimited, secure data. You want the peace of mind that will let you focus on strategic initiatives rather than data integrity concerns.

? Comparison of AI Models

What this doesn’t mean is using a generic solution like ChatGPT. Instead, you’ll want tailored open-source models fine-tuned to your specific business needs. Custom models deliver the more relevant and actionable insights that your organization demands. This approach ensures that your AI initiatives are aligned with your strategic goals, providing maximum value.

? Empowering Non-Technical Users

The goal is to democratize data access. You don’t need options that prevent business users from performing complex queries or cause you to rely heavily on IT support. Low-code/no-code tools with an intuitive interface allow users to generate dashboards and visualizations that enhance productivity and resource utilization. What you want is to get a report from request to production instantaneously–NOT in 8 to 12 weeks.

? Cost Efficiency

A carefully crafted data solution will cut down on operational costs by eliminating the need for extensive data infrastructure and reducing reliance on external reporting services. The efficiencies gained lead to better resource allocation and cost management. The solutions you’re after must provide robust performance without prohibitive costs, making them accessible for broader use within business environments.

The good news? It’s possible.

It’s what excites me most about Incorta.?

I regularly remind our teams that we are the revolution. Because all the things I’ve just identified we provide. I don’t know of anyone else doing it.

IncortaX is tailored for advanced AI/ML integration and predictive analytics while Incorta Nexus excels in providing real-time data access and immediate insights. These two platforms are essential for data-driven decision-making within organizations.

Want to see how? Get a 1:1 demo where you can ask questions, explore the product’s functionalities, and see how it can meet your specific needs.?

Just click https://www.incorta.com/demo

? Be sure to follow Incorta (https://www.dhirubhai.net/company/incorta/ ) on our company page, to see how we get you decision-ready data faster, simpler, and at scale.

? Got insights on Incorta or data analytics? Ask to join our Incorta User Group Community (https://www.dhirubhai.net/groups/13920217/ ).

#digitaltransformation #finance #cfo #data #businessanalytics #generativeai

Luis Alejandro Mantilla

Impact Contributor at HelsinkiMissio – Aggredi Primo | GettoGym

4 个月

This article nailed the critical importance of data quality in AI/ML. The risks of poor data quality are severe, from strategic errors to compliance issues. It's inspiring to see Incorta providing real-time data access, advanced AI integration, and robust security. Empowering non-technical users and enhancing cost efficiency are game-changers.

Michael Scott Overholt, PhD

I help fintech companies get qualified leads every week | content strategist | CCO | vinyl collector ????

4 个月

The newsletter makes a compelling case for investing in high-quality, integrated data solutions.

Christine Greig

Director of Customer Experience and Voice of Customer - Digital Healthcare and Wellness

4 个月

The newsletter highlights the significant financial implications of poor data quality. A timely reminder for businesses.

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Alonzo Davis

Experienced Business Development & Account Management Leader ?? Extensive Telecom Industry Experience ?? Passionate about Empowering & Leading Growth-Oriented Teams ?? Constantly Delivering Improved Financial Performance

4 个月

The potential to drastically cut down the time from report request to production is exciting. No more long waits!

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