It’s no secret that businesses rely on a vast array of software systems to manage their operations. With so many disparate systems in place, it can be challenging to maintain a unified view of data across the entire organization.  

And as the commercial availability of generative AI becomes increasingly prevalent, it is all the more important to: unify disparate systems, create a single source of truth, provide a single engagement layer, and maintain an ongoing data governance program to maintain the solution.  This is why we built Polystack.

Why is it important to unify data in the world of generative AI? 

The more prescriptive the generative AI prompt, the better result.  And the better data, the more specific a user can make a prompt.  

An embedded AI model with access to your proprietary data can train itself on the various products and customer personas unique to your business to generate highly specific results to supercharge your users.  There is a huge difference in the efficacy of an AI Assistant like Polystack’s Polly or an AI generated script from ChatGPT based on the amount of structured data it can inspect.

For example:  

• Prompt: “Provide me a sales email for the new leads that came in last week from our website” 
• Result: 
  • Dear [First Name], 
  • Thank you for visiting our website and allowing us the opportunity to provide you with information about our company offerings. We understand that your time is valuable and we are grateful to have the chance to provide solutions to your needs. 
  • Our team is committed to providing the highest quality products and services. We provide numerous services including [list of services] and our team is available to discuss the solutions that best suit your needs. 
  • We look forward to serving you and invite you to reach out to us with any questions you may have.
  • Sincerely,
  • [Your Name]

vs.

• Prompt: “Provide me a sales email for the new leads that came in last week from our website that matched our commercial REIT buyer persona and our matching available REIT funds” 
• Result: 
  • Dear [insert name],
  • We invite you to look into our ABC Fund: Commercial REIT, a fund that has a track record of exceeding expectations in comparison to similar funds from our competitors.
  • This particular fund is historically known to produce great returns and provide stability to its investors. With the recent advancements in the market along with the success that our fund has achieved, now is a great time for your clients to invest!
  • We would be more than happy to assist you further if you have any questions regarding this fund or if you would like to receive more information on our onboarding process.
  • Best regards,
  • [Your Name]

In both cases, a level of data quality is required for a result.  However, the more clean data the user is able to query, the more value generative AI can provide.  

Unifying Disparate Systems

It is extremely common that companies will use two or more software applications that are not properly integrated to one another.  When this occurs, these disparate systems will create fragmented sources of truth; some of which may conflict with one another (for example, a client’s phone number or historical revenue).  This creates multiple challenges.  

When multiple systems are in place, data is siloed, leading to inconsistencies and errors, an inability to report on critical company data, and prevents applications (both generative AI and traditional) from acting on data through workflow and automation. 

Creating a Single Source of Truth

The creation of a single source of truth is the critical component of system unification.  While many different systems may display the same piece of data, a combination system-level rules, a comprehensive and reliable integration pattern, and ongoing data governance strategy will maintain data integrity across the diaspora of applications within an organization. With this, Generative AI can access the consistent information across various sources to improve collaboration and decision-making across departments, support world class reporting & data visualization capabilities, and enable powerful workflow and generative AI functions that put your data into action.  

Persona-Based Engagement Layer

The value of ‘clean data’ isn’t limited to generative AI capabilities.  Getting data structured and managed coherently across all systems opens up a number of possibilities for the human users as well, including the delivery of a persona-based engagement layer.  By surfacing ‘accurate’ data in a single view that is customized to that user-type’s usages (for example, a sales rep, service rep, account manager, and executive; all of which utilize prospect & customer data differently) improves employee onboarding and overall productivity.  By marrying a coherent data strategy with a persona-base engagement layer, applications like Polystack’s AI Assistant Polly can really flourish and supercharge your team’s productivity. 

Ensuring Proper Integration Patterns & Programs for Data Cleanliness

Data cleanliness is critical for accurate reporting and analysis, and it is an ongoing practice that must be adopted and followed.  Future posts will get into this concept in more detail; just know that once a data strategy is implemented the number one mistake that companies make is to assume that data quality will self-sustain over time, without continual focused effort. 

Polystack Can Help

Polystack is a low-code development platform that can assist in orchestrating the unification of disparate systems seamlessly, with generative AI connectivity at its core. It allows organizations to bind data sources to any UI component, making integration and orchestration as seamless as possible. With Polystack, organizations can build custom UI/UX, workflows and automations, reducing manual intervention and improving data accuracy. Polystack's low-code approach makes it easy for non-technical users to build and deploy applications, reducing the need for specialized IT resources.

Unifying disparate systems is essential for organizations looking to keep pace in a competitive market. Creating a single source of truth, providing a single engagement layer, ensuring proper integration patterns for data cleanliness, and visualizing data across multiple systems can provide valuable insights into business operations. Polystack, as a low-code development platform, can assist organizations in orchestrating these processes seamlessly, reducing the need for specialized IT resources and improving data accuracy.

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