Business Intelligence & Analytics

At RealSoft, we have been at the forefront of augmented and advanced data analytics, seamless data integration, and impactful data presentation since our inception in 2002.

Overview

RealSoft is a leading provider of comprehensive Business Intelligence & Analytics services, leveraging cutting-edge data analytics technologies from Microsoft, Oracle, Google, and Open Source. Our solutions are designed to unleash the potential of both structured ,semi-structured and unstructured data, empowering our clients with enhanced decision-making, statistical analysis, and improved customer services.

Our portfolio of solutions and services includes:

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1- Large Language Mode implementation

Large Language Models (LLMs) have ushered in a transformative era for various business processes. At RealSoft, we have honed our expertise in seamlessly implementing and integrating LLM into your business operations, ensuring you stay at the cutting edge of AI advancements.
Our LLM solutions offer semantic search capabilities, empowering your organization to extract valuable insights from your datasets. By infusing semantic relevance and deep language understanding into textual search results, you can derive more meaningful information.
RealSoft’s LLM implementation is tailored to address your unique business requirements, ensuring seamless integration with your existing systems and workflows. By harnessing the power of LLM, you can unlock new opportunities, streamline processes, and make well-informed decisions based on comprehensive and intelligent data analysis.

2- Descriptive Analytics

What happened? What is happening now?

RealSoft’s Descriptive Analytics process involves parsing historical data to gain insights into changes that have occurred in your business. By utilizing a range of historic data and benchmarking, users obtain a holistic view of performance and trends, providing a solid foundation for strategic planning.
Our Descriptive Analytics solutions encompass traditional business intelligence (BI) techniques and visualizations, such as comprehensive reports, pivot tables, histograms, line graphs, pie charts, and whisker plots.
By summarizing the main features and characteristics of your data, descriptive analytics presents a clear picture of what has happened without delving into the reasons or causation.

3- Diagnostic Analytics

Why did it happen, Why is it happening, What are the trends, and What patterns are there?

Identifying the reasons behind trends and correlations between variables is essential for gaining deeper insights into your business performance.
RealSoft’s Diagnostic Analytics enables you to uncover the drivers of trends and anomalies, such as unexpected drops in revenue, shifts in customer behavior, or increases in expenses.
Through data drilling, data mining, and correlation analysis, we help your business better understand variations in performance and customer behavior.
Data drilling involves diving into datasets to reveal detailed information about the factors driving observed trends. Data mining hunts through large volumes of data to find patterns and associations, while correlation analysis examines the strength of links between different variables.

4- Predictive Analytics

What will happen? How will people react? Is this a fraud?

Anticipating future trends and their potential impact is crucial for proactive decision-making. RealSoft’s Predictive Analytics uses advanced statistical and modeling techniques to determine future performance, enabling your business to make data-driven decisions.
Our Predictive Analytics technology makes predictions about certain unknowns in the future, helping you anticipate customer behavior, market trends, and potential fraud risks.
We employ various predictive models, including decision trees, linear and logistic regressions, as well as emerging deep learning methods and technologies like neural networks.

5- Prescriptive Analytics

What should I do? How can I make it happen?

Building upon the insights gathered from Descriptive, Diagnostic, and Predictive Analytics, Prescriptive Analytics recommends specific actions or strategies to improve business outcomes.
By factoring in information about possible situations or scenarios, available resources, past performance, and current performance, Prescriptive Analytics offers valuable guidance to optimize decision-making. We utilize machine learning to help your business make informed and effective choices based on computer program predictions.