Data-Driven Decision-Making AI Benefits

Data-driven decision-making AI that enhances the work of executive leaders

Today’s top executives have reached their positions through hard work, networking, and focus. They have dedicated time to traditional decision-making processes involving staff interactions, reports, data analysis, and other methods that have driven their success. These experiences have helped them develop a strong business compass that automation and AI have not yet been able to match.

Now, the decision-making landscape has transformed with advancements in AI and data analytics. Executives can access powerful tools that automate data collection and analysis and provide real-time insights. Often, the AI dialogue focuses on routine tasks, yet with new advances in Cognitive AI, executives have more relevant use cases to apply to their work (in addition to corporate strategy).

This new technology empowers executives to make swift decisions by providing immediate, actionable insights. No longer burdened by data collection and organization, they can achieve faster and better results.

So, how can you have the most up-to-date data that is easily accessible to help with your business problems?

Building the infrastructure for data-driven decision-making

The Foundation of Data-Driven Decisions

You’ve likely heard that ‘data is not information, information is not insights, insights are not knowledge, and knowledge is not wisdom.‘

Data-driven decision-making requires a specific skill set. To achieve more informed answers, you need to establish a solid infrastructure for gathering, organizing, and analyzing organizational data. A reliable digital infrastructure is crucial for your organization’s growth.

A reliable digital infrastructure is crucial for your organization’s growth.

Capturing Unseen Organizational Data

For data-driven decision-making, the first step is to collect, analyze, and understand how processes are performed in your business. Essentially, you are looking for the foundational data layer that will help you benchmark and improve your organizational productivity.

This type of information differs from typical business intelligence from ERPs or other systems. Instead, it captures machine and user behaviors that encapsulate typically unseen data on how work is performed.

Integrating Process and Task Mining

According to Forrester, “Comprehensive process analysis blends data from transactional back-end systems (process mining) with data from front-end systems, such as employee productivity and collaboration tools (task mining).“

One example is the Productivity 360 platform. It uses desktop tools to collect data, arrange it, and provide suggestions for enhancing work processes. This method of always capturing data helps decide what to improve next with data-driven decision-making AI.

Collecting data regularly helps determine what to improve next by gathering and summarizing data to decide if automating a task is beneficial. This data integration process aims to create a unified and coherent understanding of the business environment.

Leveraging descriptive analytics

Access and Use Data

Nevertheless, capturing data is only one hurdle to tackle for data-driven decision-making. Once you have data, you want to use it without relying on other teams to build or share the information you want.  

Descriptive analytics help leaders see how the business is doing now. They can review performance and track critical goals and areas of improvement. This historical analysis is a basis for further predictive and prescriptive analytics, helping executives make informed decisions based on data-driven insights. 

Descriptive analytics helps leaders see how the business is doing now. They can review performance and track critical goals and areas of improvement. This historical analysis is a basis for further predictive and prescriptive analytics. It also helps executives make informed decisions based on data-driven insights. Descriptive analytics give leaders a foundation for planning, evaluating performance, and improving operations. When done well, it drives business success and a competitive edge.

Continuous Improvement at Scale

With KYP.ai, data is automatically structured into descriptive analytics to understand, address, or report operational performance. You can see live and historical performance with dozens of pre-configured dashboards to better guide operations.

“KYP.ai is a great tool for continuous improvement with great visualization and reporting. And, when you need insights into areas for optimization/improvement or multi-site operations management,” says Anatolijus Fouracre, Head of Global IT and Operations TBS at SPS Global.

DHL uses KYP.ai in its ‘Operational Command Center’ to help leaders see productivity insights at all its global locations. These dashboards display transaction volume, headcount coverage, and other critical metrics that leaders can use to improve their business results.

KYP.ai helps companies boost their productivity with detailed analytics using real-time data from their business. This allows you to save money, help employees work better, and manage resources well, letting you benefit from data-driven decision-making AI.

Accessing data in a centralized hub can efficiently support executive decision-making, leading to timely responses to opportunities and challenges. Analytics can also be applied to produce key KPIs, metrics, and trends, precisely how KYP.ai is configured: by your business outcomes.

Applying AI recommendations

Using Artificial Intelligence 

AI systems can process vast amounts of data quickly, identify patterns, and suggest optimal courses of action. Humans take 5 minutes to solve a math problem, but AI can solve ten problems in 1 minute. For most executives, the challenge isn’t mathematical ability; it’s having continuous intelligence for questions they may not anticipate. 

Use Case: Improve outcomes without increasing workload

Say, for example, you want to find the ideal meeting time, not based on availability but on mindshare and focus. KYP.ai provides insights on periods of peak productivity so that you can maximize the efficiency of your team’s working hours and schedule tasks and meetings during these times. 

One of our CXM customers in Guatemala recently wanted to understand how they could support better outcomes without increasing the workload. 

KYP.ai found that the team’s energy and focus levels dropped at specific times each day. Lull and stability are common in the workplace, but identifying when they happen allowed them to schedule less mentally demanding tasks and introduce short breaks to boost employee well-being and performance. 

One of their changes led to an overall process potential of 20%, driving up productivity by 27%. KYP.ai provides insights showing potential improvements in your team or your performance through automation, AI, or other workflow enhancements.

KYP.ai provides insights showing potential improvements in your team or your performance through automation, AI, or other workflow enhancements. By incorporating AI recommendations into their decision-making processes, executives can harness the power of technology to drive innovation, optimize performance, and achieve sustainable success in today’s dynamic business environment.

“KYP.ai helps us to rapidly understand our processes and how these balance with people and technology dimensions. Their automatically generated, data-driven improvement recommendations help us to generate the fastest possible ROI.” 

– Rangaraj Sriramulu, SVP Digital Transformation at Alorica and KYP.ai customer.  

The power of Gen AI in executive decision-making

Gen AI for Executives

KYP.ai Concierge is a unique, interactive AI that builds an operational intelligence hub for customized answers from primary and other data sources. Data is continuously aggregated from multiple sources into its LLM for up-to-date data-driven inquiries.

KYP.ai Concierge enables organizations to see, understand, and improve productivity by learning meaning and context by analyzing relationships in sequential data. This then allows you to ‘talk with your data.’

Whether you want to pull together critical points to highlight in a board meeting, build a business case for an upcoming project, or understand the ROI of a recent implementation, KYP.ai Concierge answers your questions on demand. The unique capability to develop answers from data differs from Gen AI, such as CoPilot, which retrieves data and develops creative assets or files.

The tool KYP.ai helps bosses understand data fast, moving from collecting data to getting clear answers in just a few minutes. It was designed to support your intrinsic knowledge with a database of valuable insights you can always use.

Balancing AI and human insights

Addressing Privacy Concerns

While data-driven decision-making AI can indeed enhance executive decisions, it’s also critical to establish clear policies and procedures to ensure data security, compliance, and privacy.

This involves setting clear roles and responsibilities for managing data and upholding data quality standards. KYP.ai adheres to strict security policies, including SOC2 compliance. We implement robust safety measures, encompassing data masking and pseudo-anonymization. Our privacy controls effectively block personal content, safeguarding sensitive information like bank passwords.

Finding Balance

Most experts agree that AI’s pros outweigh its cons. Executives can use data-driven decision-making to drive business growth, improve operational efficiency, and gain a competitive edge in the market.

By combining data from different parts of the organization, executives gain a holistic view that enables them to unearth value creation for their companies. An integrated approach facilitates the identification of critical insights that can drive informed decision-making processes and strategic initiatives.

Overall, choosing the right AI and automation tools is a balancing act between functionality and cost. It’s one of the reasons our company was named KYP.ai, which stands for Know Your Potential. The Productivity 360 platform lets you capture typically unseen data so that you can have insights on demand to layer on your intrinsic knowledge. Today’s leaders can reach even greater heights if they embrace the Gen AI movement wisely.