Startups

Understanding operations intelligence can transform a startup

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Amitai Gilad

Contributor

Amitai Gilad is the Vice President of Data at Akooda. With more than 15 years of experience in engineering and R&D management within the governmental Cyber sector, Amitai possesses a wealth of expertise. His ability to define, research, and transform raw organizational data into actionable insights for business operations made him an ideal addition to the management team of Akooda, which is an alum of Intel Ignite, Intel’s startup accelerator program

Driving becomes second nature quickly: You insert the key, grip the wheel, press the gas pedal, and off you go. Just like that, we navigate complex machines through muscle memory and experience. Going to work feels the same — we assume everything runs smoothly in our complex environments.

Understanding a company is like scrutinizing a car. Initially, they both seem impressive, with flashy exteriors. Both have numerous roles, processes, and a unique culture, making them work as a whole. Yet, we rarely explore their inner workings.

The real story lies beneath the surface. To understand what makes some cars or companies superior, you must look deeper, beneath the hood or behind the scenes.

The best companies dive into their internals to understand information flow, identify bottlenecks, and boost efficiency. It’s in these hidden processes that a company’s true potential is found. With the right changes, you can transform it into a well-tuned machine that outperforms competitors and races toward success.

Giant leaps forward

In both the worlds of cars and business, progress often involves incremental improvements. Gradually over time, cars came with enhanced fuel efficiency and safety features, with an improved appearance, making driving better with each model year. Occasionally, game-changing innovations like windshield wipers, cruise control, and electric ignitions revolutionized the driving experience.

For businesses, breakthroughs can lead to unprecedented success. Process mining, for instance, offers objective insights based on real data, enabling data-driven decision-making and the identification of inefficiencies. Artificial intelligence, particularly in operations intelligence, has reshaped how companies understand processes, people, and structure to achieve their goals.

Operations intelligence aims to optimize information flow, address bottlenecks, and eliminate obstacles to progress. Companies that invest in this area can transform as significantly as the shift from gasoline-powered to electric cars in the automotive industry, becoming more flexible, cost-effective, and responsive to market changes.

Exploring beneath the surface

What’s preventing today’s leaders from understanding their organizations better?

Operations involves dissecting an organization, and understanding roles, connections, and behind-the-scenes dynamics. Intelligence is about optimizing these moving parts. Operations intelligence combines methods to gain a deep understanding of how an organization works, make improvements for business excellence, and provide this insight at crucial decision points.

Operations intelligence simplifies decision-making by directing time and resources where they’re most needed. Attention metrics reveal projects consuming excessive time or being neglected. It plays a vital role in risk management, identifying issues like departmental misalignment to prevent potential problems and losses. To be effective, it relies on quality data as the foundational source of insights and improvements driving business excellence.

Constructing the foundation for intelligent operations

Operations intelligence is all about using an organization’s data to understand how it works and reveal hidden opportunities for improvement. It involves gathering, analyzing, and visualizing data from different parts of your organization to see trends and patterns. This process helps operators make decisions that make the business run smoother, save money, and make customers happier.

To ensure effective implementation of operations intelligence, consider the following key factors:

Step 1: Extract the minimum viable data (MVD)

Minimal viable data (MVD) is the crucial information for confident decision-making. Traditional analytics tools often overlook digital data from common tools like documents, instant messages, and meetings. This data is a valuable source of insights, and statistical, natural language processing, and machine learning methods can help identify its significance from the vast amount of available data.

For example, R&D teams accumulate extensive software development data, including code commits, bug reports, and team communication. They can quickly identify problematic code modules, allocate resources effectively, and enhance software quality by focusing on key metrics like code rewrites, bug fix response times, and collaboration patterns.

Step 2: Transparency and alignment

Improvement depends on measurement. Transparency involves viewing data and connecting it into coherent concepts like entities, processes, topics, and organizations to identify problems and opportunities. Additionally, uniform language and metrics promote better collaboration within an organization.

Standardizing KPIs and achieving alignment can be challenging in organizations with diverse cross-functional teams and disparate tools. A unified operations intelligence view enables teams to swiftly detect resource bottlenecks, reallocate resources, and work harmoniously toward the company’s strategic goals.

Step 3: Focus on what matters

Amid the sea of information, it’s easy to feel overwhelmed. Operations intelligence simplifies the process by identifying leading indicators and early warning signs for potential problems or successes.

By closely tracking these metrics, organizations can discern trends and patterns, enabling them to take practical actions to refine business processes and allocate resources to impact the bottom line directly.

Step 4: Unparalleled experience with AI

AI simplifies data interpretation, providing equivalent years of experience in one place. It offers insights that are either too complex for the human eye to grasp or would take too long to compute.

Organizations of all sizes and industries grapple with complexity, from managing remote workers to multinational offices. This complexity is like a challenging puzzle; manual data analysis is time-consuming and daunting. AI is the solution, helping organizations navigate their intricate data landscape, uncover hidden insights, and identify correlations within their operations. This newfound clarity leads to efficient resource allocation, cost reduction, data-driven decision-making, and enhanced agility to thrive in a constantly evolving business environment.

Operations Intelligence represents a modern approach embraced by leaders and employees alike. AI facilitates understanding organizational mechanics, smart decision-making, and profit enhancement without dealing with complex puzzles. With the right tools and mindset, organizations can reveal hidden strengths, encourage cross-team collaboration, and achieve remarkable results, which is essential in today’s dynamic business landscape.

Much like groundbreaking tech innovations transform cars, these breakthroughs in business operations can propel a company to new heights. While gradual improvements are vital, these rare and exciting discoveries through operations intelligence set a company apart and enable it to thrive in a competitive business world.

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