Halo BI Software Overview by Jitesh Shashtri
- 1. RIGA TECHNICAL UNIVERSITY Faculty of Computer Science and Information Technology Institute of Information Technology Professor – Dr.habil. Galina Merkurjeva Decision Synthesis Principles and Practice in Logistics Halo – Supply Chain Analytics and Business Intelligence Presenter: Jitesh Shashtri
- 2. Content Brief Introduction, Software Functionality and Application About Halo BI01 ICT and Industrial Management Technologies Technologies Applied in Software02 Innovation Aspects and Perspectives03 Simplified Practical Example and Conclusion Case Study04
- 3. Business intelligence (BI) is a technology-driven process for analysing data and presenting actionable information which helps executives, managers and other corporate end users make informed business decisions. Predictive analytics (PA) encompasses a variety of statistical techniques from data mining, predictive modelling, and machine learning, that analyse current and historical facts to make predictions about future or otherwise unknown events. Introduction – BI and PA
- 4. Functionalities: Advisory Analytics Business Intelligence Supply chain Analytics Halo BI – Functionality and Application What is Halo BI – “Halo BI is a complete business intelligence solution designed to help companies drive top and bottom line revenue, enhance efficiency, and further improve their productivity and competitiveness based on reliable up to date data” Source – financesonline.com Source – halobi.com
- 5. Supply Chain Planning Supply and Demand Modelling Visualization of Inventory Utilization of IOT like geo location mapping and supply sensors for real time data Manufacturing Optimize processes with insights and prediction using what-if analysis BI insights with business partners Ranking suppliers Procurement Compare and monitor suppliers on pre-determined factors Collaboration and data sharing with internal and external entities Sales and Merchandising Precise forecasting data with external collaboration Better insights through visualization with various perspectives Finance Connects critical financial, sales and operations data Advanced predictive modelling Operations Self service reports and analytics for: Lost Sales Estimates Availability/Out of stock Channel returns 3PL Analytics/Mobile friendly format Halo BI – Functionality and Application
- 6. HaloBoost Machine Learning Forecasting Solution: Massive Data Thousands of SKU Level Forecasting in minutes Benchmarking - 1 million forecasts in an hour Halo BI Predictive Intelligence - Pre-built Models Customer Potential Score Marketing Response Scoring Demographic Profiler Customer Risk Score Shelf space profit planner New Supplier Scorecard Margin Compression Analyzer Pricing optimizer Fraud Risk Detector Technologies and predictive analytics • Machine Learning – Algorithms, Statistical models • Decision Trees – Class of ML, predictive model • Numeric Prediction – Linear Regression, Least Square estimation • Bayesian Learning – Bayesian probability model using Bayes theorem • Artificial Neural Networks – Computational model for non-linear statistical data • Support Vector Machines – Supervised learning models used for classification and regression problems • Text Mining – Uses computational algorithms to read unstructured data into numerical values • Collaborative Filtering – Technique for making automatic recommendations • Bayesian Networks and Temporal Data Mining - • Microsoft SQL Coding - For data integration, cleansing, structuring and delivery Halo BI – Technologies Applied
- 7. Halo BI – Innovation Aspects and Perspectives 1. Predictive Intelligence 2. Cognitive Analytics
- 8. Halo BI – Innovation aspects and perspectives Business Intelligence + Predictive Analytics Predictive Intelligence
- 10. Example
- 11. Halo BI – Simplified Example
- 15. Halo Rings Halo Source Halo Rays Halo Prism Halo Span
- 16. Conclusion: Halo BI is created to a be simple, less complicated platform Tools needed to access, analyze and break down real-time information so anyone can make better decisions Provides holistic approach to business intelligence With Halo BI People are able to perform better, processes become smoother and more seamless Positive Points: Dashboard gives great insights Various Options to view data from different perspectives Tools and technologies used are based on the current needs of the company Negative Points: Requires training Performance and effectiveness depends on data quality and data veracity Halo BI server based service
- 17. References: 1. https://halobi.com/ 2. https://halobi.com/webinars/ 3. https://halobi.com/whitepapers/ 4. https://halobi.com/case-studies/
Editor's Notes
- #10: LiveSlide https://halobi.com/dashboards/inventory-dashboard/