Decision management solutions

  • Devise a customer-first decision-making framework that uses technology to analyze customer data and predict custom behavior

  • Prepare a feasible 5- or 10-year business plan with a custom decision management solution that automates routine decisions and increases team efficiency

  • Centralize business data and streamline decision-making with a fully integrated proprietary decision support system

  • Achieve data visibility and transparency without putting it at risk with robust security and access controls that meet industry regulations

  • Expand your in-house data capabilities with our technical expertise in data management, analytics, predictive modeling, AI, ML, and business intelligence

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Implementation results of decision management solutions

  • up to 30%

    reduction in operational costs

  • up to 20%

    improvement in customer retention rates

  • up to 50%

    decrease in service downtime

  • up to 60%

    reduction in decision-making time

Data and decision management services Yalantis provides

The right decision management tool isn’t a silver bullet. But it can become a powerful ally that helps you make important business decisions on time, proving that your customers, team members, and investors can rely on your company.

  • Data collection and integration

    • Data aggregation from databases, APIs, and IoT devices

    • ETL processes to move, transform, and store data in a central repository

  • Data storage and governance

    • Data warehousing and data lakes to centralize data storage that supports analytics and AI technologies

    • Data governance to maintain data quality, consistency, and compliance with regulations like GDPR and HIPAA

  • Data processing and transformation

    • Data cleansing and transformation to standardize and format data to ensure compatibility with analytics models

    • Real-time data processing to enable timely decision-making

  • Data analytics and business intelligence

    • Descriptive and diagnostic analytics to provide insights into historical trends and identify causes of data patterns

    • Data visualization to build dashboards and reports for easy interpretation of insights

  • Artificial intelligence and machine learning

    • Predictive and prescriptive analytics to forecast business outcomes and suggest optimal actions

    • Anomaly detection and NLP to identify unusual data patterns and extract insights from text data, such as customer sentiment

  • Data security and performance optimization

    • Data security with access control and encryption to protect sensitive information

    • Continuous monitoring and quality assurance to track performance, optimize models, and ensure data accuracy and compliance

Ensure rational use of company time and resources

Shift from gut-feeling decision-making to information-based decision management backed by cutting-edge technology solutions.

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Decision management use cases by industry

  • Finance

    • Credit risk assessment using AI models to predict credit risk

    • Fraud detection to analyze transaction patterns in real time and detect fraudulent activities

    • Regulatory compliance to automate compliance monitoring and reporting

    • Investment portfolio optimization based on risk tolerance and market trends

  • Healthcare

    • Clinical decision support to analyze patient data and suggest treatment plans

    • Predictive analytics using AI models to identify high-risk patients

    • Revenue cycle management to automate billing, coding, and claims processing

    • Compliance and risk management to ensure adherence to healthcare regulations

  • Retail

    • Inventory and supply chain optimization to predict demand and optimize stock levels

    • Personalized customer experience with AI-driven product recommendations

    • Dynamic pricing models to optimize pricing in real time

    • Churn prediction to apply retention strategy action

  • Manufacturing

    • Predictive maintenance to predict equipment failures, minimizing downtime

    • Quality control with computer vision to detect product defects

    • Supply chain efficiency to ensure end-to-end optimization of the supply chain

    • Workforce optimization to analyze workforce needs and optimize scheduling

  • Supply chain

    • Order fulfillment to deliver quality products to customers on time

    • Transportation optimization to plan cost-efficient delivery routes

    • Demand planning and forecasting to plan stock levels

    • Warehouse layout optimization to reduce storage costs

Provide your clients with services that exceed their expectations

Make balanced customer-first decisions with a reliable and secure decision support solution.

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Yalantis: A company with a proven portfolio

Data-driven decision management for food manufacturer

  • Data migration from manual files into a data warehouse

  • Justified decision-making with quick access to accurate busines data

  • Future-proofing business initiatives with AI/ML implementation

Data lifecycle management in food manufacturing logo

See full case study

BI-enhanced decision-making for neobank

  • Data-based fraud identification and prevention using BI

  • Real-time data visualizations

  • Automated custom report generation system to increase process visibility and unburden employees

See full case study

Custom data strategy for mobile banking provider Oxygen

  • Scaled data infrastructure for streamlined decision-making

  • Improved business reporting with optimized data workflow monitoring and management

  • Data governance framework to maintain data quality and security

Data strategy

See full case study

Big data analytics solution for 3PL

  • Scalable solution architecture for complex data analysis

  • Data visualization for tracking business performance and financial indicators

  • ML algorithms for predictive analysis of visualized data

Supply chain big data analytics logo
Big data analytics for 3PL

See full case study

Make financially wise decisions based on relevant business data

Get a good grasp of your business capabilities with a unified data and decision management solution.

Request a call with our data expert

Insights into Yalantis’ decision and data management services

How to

An enterprise data governance framework: Solve your biggest challenges with data security, quality, compliance

Is data chaos costing your business growth and innovation? Discover how to tackle data challenges around security, consistency, quality, and compliance with a single solution.

Data lifecycle management
How to

Data Lifecycle Management: A Complete Guide

Find out how to optimize business decision-making by implementing an insightful BI solution that involves fine-tuning your data lifecycle and establishing robust data management practices.

How to

Business intelligence in healthcare: Benefits and the best tools

Learn why you need to implement a BI solution to analyze medical data and how it can improve your business operations. Also, get a list of the top five BI solutions worth considering.

FAQ

What industries can benefit most from decision management solutions?

Any company across various industries can benefit from optimized decision management. It helps build feasible business growth strategies by taking into account the company’s available time and resources, budget, and customer data. If such an approach sounds alluring to you then this solution can be an option.

 

In particular, finance organizations can scale the credit scoring process and increase its efficiency by processing larger amounts of clients in shorter periods. Healthcare businesses can improve patient care and reduce hospital readmissions by offering more personalized treatment plans that can be calculated based on the needs of different patient groups.

 

Thus, well-organized and technology-driven decision management solutions can help you test ideas, automate business rules, define risks, optimize operational processes, and impact overall business strategy.

What makes your decision management services different from other options on the market?

With Yalantis, you have lots of opportunities. Our team is flexible beyond measure. Instead of buying a single product for a fortune that doesn’t necessarily have enough customization capabilities, you can work with us on a whole package of decision management solutions with a focus on the quality that meets your standards.

 

Need a secure and custom ML model integrated into your decision support system? Not a problem, we have you covered. Have in mind validating a new business intelligence tool for your decision-making flow? Or want to explore the concept of decision as a service? Just say it and our research and development team is already on that. It’s flexibility and widespread expertise that makes us unique. From professional artificial intelligence modeling to choosing the right data storage system, you can count on us every step of the way to a better decision management process.

Can a decision management solution you develop integrate with our existing systems?

Straightforward integration with your business infrastructure is our ultimate goal. We know how much frustration can cause an improperly connected system that lacks sufficient, relevant, and up-to-date data. To avoid this, our data engineers pay attention to establishing a rock-solid data management ecosystem with a secure extract, transform, load (ETL) and data analytics process. With a reliable data management foundation, we can proceed to implement a customized data management solution that enhances rather than disrupts your business process.

Decision automation with AI: An efficient reality or inconceivable future?

A complex decision flow consists of multiple constituents, small steps that undermine making an important decision. For example, the customer scoring process may require:

  • input from stakeholders involved in partnership with them
  • thorough investigation of the customer’s profile and needs
  • assigning suitable rating that meets all the client assessment criteria

These and many more tasks are a part of the complex decision flow of whether a company should continue cooperation with a particular customer. But imagine that some of these tasks can be automated to save you time. For instance, predictive modeling tools as a part of decision management solutions can perform cooperation risk analysis. Such a solution can provide you with an all-around customer assessment and help you make the right decision.

Benefits of AI-enhanced business decision-making

Decreased errors. An AI-based decision model won’t get distracted, stressed, or overwhelmed with work. This is a great benefit humans can use to their advantage, for instance, to automate a reporting process and get the same quality reports every time.

Hidden insights. AI models and ML algorithms can be programmed to analyze large amounts of your data, paying attention to every little detail you can miss such as discovering the number of fraudulent activities and security threats during a year across all departments. With such data, you can then make the decision to invest in extra security controls and improve your business rules to prevent this situation in the next year.

Quick yet quality decisions. Organizations often have to make quick decisions for numerous reasons, driven by market trends, customer demands, and investor pressure. Customized AI systems can be helpful for them to quickly validate ideas, find relevant data, and even compose killer presentations, reports, and pitches based on high-quality internal data and relatable company results.

Risks to take into account during the AI implementation process

Hallucinations are real. You should develop custom AI models or solutions and train them on your proprietary data, as public AI options not only have questionable security but also produce errors all the time while being confident that they give the right information. Fact-checking may take more time than actually doing the job yourself in the first place.

Overreliance can have consequences. AI can be helpful during the decision-making flow but the final decision is on you. Even if your customer data proves that you should consider launching a new product or functionality but a company’s financial state isn’t satisfactory or you have a high staff turnover, this decision can be postponed to a better time.

Unwarranted trust. Access to AI-driven decision management solutions should be regulated when it comes to making critical business decisions. Even if an AI model is trained on quality data, the results it produces may need additional oversight from an expert. Plus, it’s best to first form your expectations and already have an opinion and only ask an AI solution to validate, support, enhance, or disprove your ideas, this way you can avoid bias and stay on the firm ground if you don’t agree with the AI system’s results which is also possible.

Types of business decisions you can streamline with the help of advanced technology and DMS management solutions

To efficiently achieve business goals, your decision-making framework can be based on various technologies such as data management tools, data storage solutions, and data analytics with the help of business intelligence. To always stay on track with the latest tech developments, you should consider becoming a part of large business communities (e.g. IBM open editions community that operates in the realm of busines automation). Attending tech conferences (such as an open house IBM TechXchange conference) is also a huge plus to always remain up-to-date with business world advancements.

Below are a few examples of complex processes established businesses can optimize with the help of a well-thought-out decision management solution:

  • New product commercialization strategy. Launching a new product or service can be daunting for a company, as they need to assess all the available resources, set feasible timelines, predict risks, and compose mitigation plans.
  • Product differentiation. Comparing product or service offerings with similar options on the market is a crucial but lengthy task with many constituents. A designated research team should also take into account feedback from their customers and competitors’ customers. Even collecting all those datasets is already difficult, let alone analyzing them.
  • Business expansion to new markets. Business growth initiatives also come hand in hand with a range of important decisions, including budget planning, launching marketing campaigns, and investigating the needs of new target audiences.
  • Enhancing customer satisfaction. Customer-first companies pay attention to every customer relationship and regularly gather feedback from their clients. However, it’s also important to act on this feedback such as by adding necessary customization capabilities to your product or offering personalized services. Plus, your team should be able to process complaints and respond to customer’s requests quickly.

To streamline decision management when fulfilling complex business processes and tasks, you should consider devising a custom data management strategy that incorporates:

  • automated data collection and migration process
  • secure data storage
  • advanced analytics
  • cutting-edge AI/ML technologies to future-proof your decision-making process

Data migration and data quality assurance during the development of decisioning solutions

Data migration means consolidating necessary company data in a single place in a standardized format for simple retrieval. This data can then be easily used by data analytics systems and support decision management. Validating and maintaining high data quality is another crucial aspect of decision management system development, as only quality data can help you make balanced and up-to-date decisions that match current company goals.

To perform an efficient data migration and data quality assurance process, our data experts:

  • analyze all the available data sources that are essential for your data management solution to function effectively.
  • model a suitable data schema for optimal data organization
  • devise an ETL process to streamline and optimize raw data flow.
  • integrate technologies to automate data validation and testing to ensure data consistency and eliminate errors.
  • set up a data warehouse or a data lake to store large amounts of structured or unstructured data that are crucial for unified data and decision management.
  • establish security and access controls to protect businesses and enable role-based access to data.

Automation tools and their timely proactive implementation on the project allow our data engineers to accelerate the progress of decision management solution development and focus on delivering maximum value to our clients.

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    Lisa Panchenko photo

    Lisa Panchenko

    Senior Engagement Manager

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