Data Integration- Creating the Modern Foundation for Data Quality and AI

The smartest organizations understand that a strong foundation is necessary for growth. Especially in the AI era, secure groundwork allows businesses to properly scale, implement modern technologies, and enable future success.  

Today, achieving a strong foundation for business often comes down to data quality. Because every modern organization relies on business data to make decisions, providing quality data is vital to create proactive success, make better decisions, and enable modern technologies like AI to flourish. 

So how can you achieve high quality data? The best place to start is by getting ahead on data integration.  

To achieve fundamental data quality, data integration is crucial for growing organizations. Integration processes provide huge organizational boosts, connecting disparate systems and ensuring sources of data are reliable and accurate. Doing so prevents redundant information and data silo backups, keeping tools and applications like AI from being hampered by poor data. 

Despite this, many businesses find data integration difficult. According to a recent Business Wire article, about 89% of companies struggle with data and system integration [1]. This number aligns with Big Data Wire’s 2024 article, stating that “57% of [surveyed] respondents rated data quality as one of the three most challenging aspects of the data preparation process.” Nearly 40% of respondents also found that integrating data from multiple sources was a top three challenge [2]. 

Without data integration, connecting organization-wide systems effectively can be extremely challenging. Often, poor quality data comes from disconnected systems. When disconnected, these systems can create data silos latent with redundant, error-prone, and unclean data. 

As such, effective data integration is vital for modern companies. For most companies, the goal of data integration should be to achieve a single, accessible source of accurate, quality data.  

So, what exactly are the benefits of having quality data? 

The more solid an organization’s data foundation is, the safer they can scale. 

Quality data provides stability across the board, providing accurate information for a company to utilize. Having high quality data provides important benefits that improve a business’s overall infrastructure. 

Some of the biggest benefits include: 

Accuracy 

Accurate data improves decision making and minimizes expensive mistakes. Accurate business data improves an organization’s decisions by giving correct information upon which to form decisions. When data is correct, your business decisions will be correct too. 

Lowered Costs 

Having reliable access to quality data can save organizations copious amounts of money. It means that an organization can minimize costly mistakes, hire far less manual labor, and turn employees toward proactive goals. 

Improved Efficiency 

Data efficiency works in tandem with lowered costs. Because integration can make data faster and more accessible, it improves the efficiency of business operations, thus increasing savings.  

Higher Business Sustainability 

With all these factors combined, organizations that prioritize high quality data are looking out for the future of their business. Providing high quality data ultimately ensures long-term benefits for a company, enabling a successful future. 

These benefits of quality data are a clear-cut way of practicing successful business, both in savings and decision making.  

As well, data quality can vastly improve the functionality of tools like AI, which rely on business data to function.  

Quality data is the foremost important aspect of generative AI tools. When an AI model is built on poor data, the AI tool simply cannot function at a quality level.  

As the saying goes, garbage in, garbage out.  

An example of when bad data causes undesirable results is exemplified in AI hallucinations. This phenomenon occurs when an AI model generates incorrect, nonsensical, or misleading information [3]. 

In some cases, popular language-learning models like Chat GPT3 have had some notable hallucinations. One example, found in Douglas Hofstadter’s 2022 economist article, is when GPT3 claimed that “Egypt was transported across the Golden Gate Bridge for the second time on October 13th, 2017” [4]. Of course, this is completely nonsensical. 

While responses like this can be amusing, they’re also indicative of serious foundational data quality issues. And, for organizations seeking to utilize AI models to run business procedures, these errors are simply a liability. 

This exemplifies the importance of data integration for businesses functionality, especially progressing into AI era. For this reason, many organizations turn toward data integration tools to prevent poor, biased, contradictory, and incomplete data. 

To achieve data quality, data integration tools offer the best way to provide clean, accessible data. Yet with so many tools to choose from, picking the right tool for the job is important. 

Enter Kore Integrate.  

Integrate is a tool that uses ETL (extract, transform, and load) methods to process, clean, and load data into a single data warehouse. This tool works as a data warehousing solution that will improve your data reporting, scalability, functionality, and speed. It also utilizes EAI (enterprise application integration) and REST processes to ensure that the applications of a company are connected to each other. By connecting the disparate sources, data quality can become easier to achieve. 

As well, Kore Integrate is a great way to automate the integration process. Because manual data integration “drives up costs, takes copious amounts of time, and [damages] the accuracy and reliability of data” [5], being able to automate data integration will provide a huge boost for your business. 

For organizations that use Rocket Software’s UniVerse and UniData MultiValue databases, Kore Integrate is the best data integration tool you can get. Integrate also pulls from ODBC-enabled data sources like SQL Postgres, Oracle, and others, making it versatile across many systems. 

Overall, Kore Integrate will provide you with all the integration features your organization needs to achieve quality data and a successful future.

Ultimately, strong data integration tools can improve the foundation of your business data. This is important, especially as technology like AI becomes a prevalent part of modern businesses. Through tools like Kore Integrate, the foundation of your business can be greatly strengthened by achieving data quality.