Unlocking Success with Realtime Decision Intelligence

The digital age has brought a deluge of data and finding the right path forward can be daunting. The ever-expanding data presents a significant challenge for modern businesses: extracting actionable insights from an overwhelming volume of information. Traditional decision-making processes, often reliant on intuition or incomplete data sets, can struggle to keep pace. This blog post explores Decision Intelligence (DI), a transformative approach that empowers businesses to leverage data for strategic decision-making. We’ll explore the potential of DI to streamline operations, mitigate risks, and unlock new opportunities, while showcasing how Hoonartek serves as a trusted partner in navigating the complexities of data-driven decision-making.

Why Decision Intelligence is a game-changer

Decision Intelligence (DI) is not just about crunching numbers; it’s about converting data into actionable insights that drive strategic choices. With growing complexity and dynamics, it is difficult for businesses to choose the next right path. With time, every business faces an increase in disruptions & uncertainties.

Businesses must unlock the power of DI and drive the organizations’ decisions without human biases. As per a recent study by Gartner, by 2026 – 3/4th of the world’s companies will be using Decision Intelligence to provide the right path forward.

Below are a few examples that distinguish different kinds of decision-making –
• Decision Support: Where a person makes the decision – Eg Traffic Management
• Decision Augmentation: Person + Machine makes the decision – Eg Medical Diagnosis
• Decision Automation: Machine makes the decision – Eg Financial Trading

Hoonartek’s Point of View

What sets Hoonartek apart is its holistic approach to decision intelligence. Our team of experts combines data science, advanced analytics, and domain-specific knowledge. This provides a comprehensive understanding of each client’s unique challenges. We don’t just hand over reports; we offer actionable recommendations. We enable businesses to optimize their strategies in real-time. The idea here is to not only provide the best decision but also to implement these in real time with state-of-the-art data pipelines.

Start Making Data-Driven Decisions with Decision Intelligence

See how Hoonartek’s DI solutions can optimize your operations and drive measurable ROI.

Custom Decision Intelligence Solutions by Hoonartek

Custom Solutions for Diverse Industries

Decision intelligence is not a one-size-fits-all solution. Different industries have different needs. From finance and healthcare to marketing and logistics, Hoonartek has a proven history of driving growth and efficiency across the board. Below are a few of the success stories we have of delivering the decisions and pushing them down the data pipeline:

Story 1: E-Commerce Optimization

In the field of e-commerce, our decision intelligence is a game-changer. Let’s say an online retailer wants to optimize their pricing strategy based on various factors such as demand, competitor prices, and historical sales data. Our automated decision-making system pulls real-time data from different sources. This data includes web traffic, competitor pricing feeds, and past sales trends. Through complex algorithms, the system then determines the optimal pricing strategy for each product. It factors in the current market conditions and the retailer’s profit goals.

These decisions get pushed into the data pipeline, updating the pricing across the website in real- time. This automation not only ensures competitive prices but also maximizes revenue without manual intervention. This gives the retailer a significant edge in a fast-paced market.

Story 2: Healthcare Patient Triage

In the healthcare sector, efficient patient triage is critical. Our decision intelligence helps to automate this process in a hospital’s emergency department. The system keeps collecting data on patient symptoms, medical history, vital signs, and current wait times. Using machine learning models, it assesses the severity of each patient’s condition and assigns a priority level. This information is then integrated into the hospital’s data pipeline. It allows medical staff to allocate resources based on real-time patient needs. For instance, if a patient’s condition worsens, the system can trigger alerts to medical staff and allocate a higher level of care.

Automating the patient triage process and integrating it into the data pipeline enhances patient outcomes. It also helps to reduce wait times and ensures that medical resources are utilized efficiently.

In both examples, Hoonartek’s expertise in decision intelligence automates complex decision-making processes and integrates them into data pipelines. This offers businesses the advantage of real-time, data-driven decision-making for improved efficiency, accuracy, and strategic impact.

Story 3: Network Optimization

Telecom companies manage vast and complex networks to ensure connectivity for their customers. Our automated decision-making can help to optimize network performance. The system analyses real-time data on network traffic, signal strength, and user behaviour. It can predict network congestion or signal degradation which impacts the customer experience. When certain thresholds are met, the system triggers automated adjustments to network parameters.

These adjustments include reallocating resources or adjusting frequency bands to maintain optimal performance. These decisions are then pushed to the streaming pipeline, where they get executed by the network infrastructure. This automated process ensures uninterrupted connectivity and a superior user experience without requiring manual intervention.

Story 4: Customer Experience Enhancement

Telecom providers strive to offer personalized experiences to their customers. Our decision intelligence helps to automate personalized service recommendations. The system analyszes customer usage patterns, preferences, and historical data. This helps to predict the most relevant services, such as data plans, roaming options, or add-ons, for individual customers.

These recommendations integrate into the customer data pipeline to drive targeted offers and notifications. For instance, if a customer frequently travels abroad, the system may automatically suggest an international roaming plan. This enhances customer satisfaction and engagement. By automating these recommendations based on real-time data, telecom companies can provide tailored experiences that resonate with their customers’ needs and preferences.

In the telecom industry, Hoonartek’s automated decision-making capabilities coupled with data pipeline integration empower companies to optimize network performance, deliver personalized services, and ultimately enhance customer satisfaction in an increasingly connected world.

Story 5: Supply Chain Management (Retail)

In the retail sector, Hoonartek’s automated decision-making can optimise supply chain operations. Imagine a retailer facing fluctuating demand and inventory levels for various products. Real-time data can be integrated from point-of-sale systems, inventory databases, and market trends into the data pipeline. This helps the system to automatically forecast demand for each product and manage dynamic Economic Order Quantity (EOQ).

Based on these predictions, it triggers automated replenishment orders to suppliers. Thus, ensuring optimal inventory levels while minimizing overstock or stockouts. This decision automation streamlines supply chain operations and keeps the retailer responsive to market dynamics.

Story 6: Fraud Detection (Finance)

In the financial sector, automated decision-making is vital for fraud detection and prevention. A bank, for instance, can use Hoonartek’s capabilities to combat fraudulent credit card transactions. Real-time data on transaction history, customer behaviour, and industry trends get processed by ML algorithms. When a potentially fraudulent transaction gets identified, the system automatically triggers alerts and holds the transaction for further review. This decision is then integrated into the data pipeline .

These decisions can also be used in AI-based agent assistance scenarios in real time. These measures can lead to additional authentication steps or even block the transaction if confirmed as fraudulent. This automated process mitigates risk and protects both the bank and its customers.

For more information on our Fraud Detection services, watch our Webinar on Identifying and Preventing Payment Fraud in Real-Time for UPI and Digital Wallet 

Navigating Complexity with Cutting-Edge Technology

In an era of rapid technological evolution, Hoonartek stays ahead of the curve. We harness the power of AI, ML, and predictive modelling to uncover hidden patterns and trends within data. By transforming data into actionable insights, we empower businesses to make decisions backed by hard evidence.


In a world where data overload can be paralyzing, Hoonartek serves as a guiding light. Our experience in decision intelligence enables businesses to streamline operations, mitigate risks, and seize opportunities with confidence. If you’re looking to steer your organization toward success, partnering with Hoonartek is the strategic choice to make. Embrace the future of decision-making with us and unlock a world of possibilities. Your success story begins with the right decisions, and we are here to make sure those decisions are nothing short of exceptional.

Hiren Thakkar

Hiren Thakkar, a seasoned technologist, is renowned for his expertise in crafting high-performance data platforms for Fortune 100 companies. His prowess spans data integration, data warehousing, data monetisation using varied technologies. Embracing the Kaizen philosophy, Hiren instils a culture of continuous improvement, fostering innovation within his team. Connect with him on LinkedIn.

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