BSBI Consultancy Solutions

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Overview

$5,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2014

Year Founded

ABOUT BSBI CONSULTANCY SOLUTIONS

Total Business Insight for Greater Success

We are a trusted and dependable consultancy and training provider specializing in AI and Machine Learning, Enterprise Data Strategy, Big Data Engineering, Computer Vision, IoT Analytics, Natural Language Processing, Deep Learning, Business Intelligence, Data Visualization (including QlikSense, Power BI, and Tableau), and Data Analytics tailored for your business. Our extensive range of services is designed to meet your specific needs. **Enterprise Data Strategy** Let data guide your business decisions! This approach utilizes a combination of data to help achieve enterprise objectives. Businesses of all sizes depend on data to enhance their decision-making processes. **Big Data Engineering** Collaborate with data architects who can expand your market insights. Our team of big data specialists is dedicated to developing robust data warehousing solutions. **Data Visualization** Simplify complex data formats and identify intuitive patterns. Our data visualization services provide a thorough representation that generates insightful data interpretations, featuring high-quality reports and interactive dashboards. We utilize top-tier software tools like Tableau, Qlik Sense, and Power BI, ensuring effective data sourcing. **AI & ML Engineering** Develop real-world applications using Machine Learning models to advance your AI capabilities. **Computer Vision** Engage in image processing through state-of-the-art algorithms. **IoT Analytics** Leverage data to reveal hidden trends and insights. **Natural Language Processing** Transform unstructured data into structured datasets to unlock significant business potential. **Technology Consulting** Choose the latest technologies to effectively showcase your brand online. **Digital Transformation** Implement automated workflows across your enterprise and embrace digital advancements. For more information, please visit: www.bsbiconsulting.co.uk Email: enquiries@bsbiconsulting.co.uk www.bsbitraining.co.uk Phone: 01923913766

Languages Spoken

English

HIGHLIGHTS

$5,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2014

Year Founded

Services

Focus

Industries

Clients

Services Provided

15% Business Intelligence (BI) Dashboard Development

14% Data Strategy Consulting

5% Predictive Analytics & Forecasting

17% Machine Learning Model Development

13% Computer Vision Solutions

3% AI Strategy & Roadmap Consulting

20% Operational Process Consulting

13% Customer Experience (CX) Strategy

About the Team

OUR STORY

At BSBI, we specialize in simplifying business management by delivering high-quality information that enhances decision-making and operational efficiency. Our commitment to efficiency, productivity, and organization enables us to foster dynamic partnerships that strengthen customer-business relationships. We provide top-tier services and technical support without hindering your ongoing operations, empowering you to control your company's workflow as you see fit. BSBI offers solutions designed for business owners prioritizing stability, prosperity, and system integration, freeing you from burdensome project details. Our vision is to supply premier Business Intelligence solutions across all platforms, facilitating seamless workflows and improved decision-making. Through innovation and a dedicated team, we aim to keep your business current, cost-effective, and your staff knowledgeable and capable.

Portfolio

Pattern and Anomaly Detection

Unknown

Issue: The client operates in the energy sector and faces significant challenges related to power outages and their restoration. They aim to identify patterns or irregularities in the power distribution grid to implement preventive and restorative measures effectively. Resolution: The challenge of detecting patterns and anomalies was addressed using the unsupervised learning method known as Self-Organizing Maps. This machine learning model effectively utilized AMI voltage data and meter events to recognize anomalies and reduce risks in the electric distribution grid. Technologies Employed: Python and SQL (for data extraction).

Customer Retention for a health insurance company

Unknown

Challenge: A healthcare insurance company aimed to create a customer retention model to decrease potential cases of customer attrition. Despite efforts to engage customers through promotional messages, emails, and advertisements, attrition rates remained unchanged. Therefore, the company needed to identify the primary factors contributing to attrition and how these factors could inform targeted promotional efforts. Solution: The main challenge involved analyzing current customer behavior and pinpointing the factors leading to attrition. This was accomplished by categorizing customers into various groups based on product types, payment plans, and other criteria. This segmentation provided insight into specific customer behaviors and the effectiveness of current promotional strategies. Subsequently, two modeling approaches—survival analysis and logistic regression—were employed to forecast customer retention, with the best model selected based on relevant evaluation metrics. Ultimately, after determining the critical attrition drivers and identifying customers at risk of churning, it was recommended to tailor promotional efforts according to customer behavior to enhance retention rates. Technologies Utilized: R, SQL, Excel, and QlikView (for visualization).

Warranty Analysis

Unknown

Issue: The client operates in the manufacturing sector and manages the development and sale of numerous products in the global marketplace. In order to consistently enhance the reliability and quality of each production batch, they aim to forecast future warranty claims by analyzing customer and product behavior data. This predictive capability would enable the client to identify early signs of issues or defects in their products. Solution: Forecasting warranty claims is approached as a regression problem, influenced by various factors categorized mainly into customer behavior (particularly near the end of the warranty period) and product behavior (defect data). Several regression models, including Generalized Linear Models, Generalized Additive Models, and Random Forest, were tested using R. Upon reviewing the results from these three models, it was concluded that Generalized Additive Models and Random Forest provided the highest accuracy for predicting warranty claim percentages, leading to the decision to use the average of both models as the final output. This approach allowed the client to identify potential problems with new products early on and address them in future production batches. Tools Used: R, SQL (for data extraction), and Tableau (for visualization).

4 more projects

Projects & Clients

Project Size & Rate

Minimum Project Size

$5,000+

Average Hourly Rate

$50 - $99/hr

Pricing Snapshot

Min Project Size

$5,000+

Avg Hourly Rate

$50 - $99/hr

Cost Rating

N/A

What Clients Have Said

"BSBI Consultancy Solutions delivers quality projects within budget and timeline expectations based on verified client feedback."

Based on verified reviews and internal benchmark data

PROJECT BUDGETS

No budget data yet — reviewers either haven't shared a project budget or kept theirs confidential.

Select a service

Business Intelligence (BI) Dashboard Development

Data Strategy Consulting

Predictive Analytics & Forecasting

Machine Learning Model Development

Computer Vision Solutions

AI Strategy & Roadmap Consulting

Operational Process Consulting

Customer Experience (CX) Strategy

Locations

Headquarters

BSBI CONSULTING LTD, Office 1.05, 1st Floor, Building 2,Croxely Business Park.

Watford, England, United Kingdom WD18 8YR

+441923913766

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