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Why our research program

What Is Business Intelligence?

Business Intelligence (BI) refers to the technology-driven process of collecting, analyzing, and presenting business data to support informed decision-making within organizations. It involves a set of tools, techniques, and strategies aimed at transforming raw data into meaningful insights and actionable information. Business Intelligence is a comprehensive approach to data analysis and reporting that empowers organizations to harness their data for better decision-making, improved performance, and competitive advantage. It plays a vital role in modern business operations across various industries.

How It Helps

What Problems Business Intelligence Solves?

Data Fragmentation

Business Intelligence integrates data from multiple sources, providing a unified view of information.

Complex Data Analysis

Business Intelligence simplifies complex data analysis with user-friendly interfaces.

Delayed Decision-Making

Business Intelligence offers real-time data analysis, reducing decision-making time.

Inaccurate Reporting

Business Intelligence ensures data accuracy in reports and dashboards.

Inefficient Reporting Processes

Business Intelligence streamlines reporting workflows, improving efficiency.

Lack of Data Insights

Business Intelligence generates meaningful insights from data, supporting informed decisions.

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What It Includes

Program Components

Research and Development (R&D) Support

Allocate funding for research and development of innovative cleantech solutions, fostering technological advancements in energy, waste management, and more.

Financial Incentives

Provide tax incentives, grants, and subsidies to businesses and individuals adopting cleantech solutions, making them more economically viable.

Education and Awareness Campaigns

Conduct public awareness campaigns to educate citizens about the benefits of cleantech adoption and sustainable practices.

Regulatory Framework Enhancement

Develop and update regulations that encourage the use of cleantech solutions and set emission reduction targets for industries.

Collaboration with Private Sector

Forge partnerships with private companies to accelerate the deployment of cleantech solutions and leverage their expertise.

Capacity Building

Offer training programs, workshops, and certifications to develop a skilled workforce capable of designing, implementing, and maintaining cleantech systems.

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Business Intelligence Research Projects

Collaboration with Canadian businesses, government agencies, and academic institutions can help drive these research projects forward. These initiatives can contribute significantly to India's business intelligence landscape and economic growth.

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Customer Analytics for Retailers

Develop AI-driven models to analyze customer behavior and preferences in the Canadian retail sector. Implement recommendation systems that personalize shopping experiences for Canadian consumers based on local trends and preferences.

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Tourism Analytics for Canadian Destinations

Use data science to analyze tourism data and predict trends for popular Canadian destinations. Develop tools that assist local businesses in optimizing services and marketing strategies for tourists.

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Financial Fraud Detection for Canadian Banks

Build machine learning models to detect financial fraud and money laundering in the Canadian banking industry. Develop real-time fraud detection systems to protect Canadian financial institutions and their customers.

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Canadian E-commerce Optimization

Apply data analytics and AI to optimize supply chain and logistics operations for Canadian e-commerce businesses. Enhance product recommendation engines for Canadian online shoppers.

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Natural Resource Analytics for Resource Companies

Utilize data science to analyze data from resource extraction industries such as mining and forestry. Develop predictive maintenance models for Canadian resource companies to optimize machinery and reduce environmental impact.

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Healthcare Analytics for Canadian Hospitals

Implement AI-driven predictive models to assist Canadian healthcare providers in resource allocation and patient care optimization. Develop tools for analyzing public health data and forecasting disease outbreaks.

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Climate Change Impact Analysis for Canadian Agriculture

Use data science and AI to assess the impact of climate change on Canadian agriculture. Develop decision support systems for Canadian farmers to adapt to changing environmental conditions.

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Canadian Real Estate Market Analysis

Build predictive models for the Canadian real estate market to aid investors, homebuyers, and sellers in making informed decisions. Analyze local real estate trends and housing affordability in Canadian cities.

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Energy Efficiency for Canadian Businesses

Develop AI-driven solutions to optimize energy consumption and reduce greenhouse gas emissions for Canadian businesses. Offer tools for Canadian organizations to meet sustainability goals.

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Public Policy Analysis

Apply data science and machine learning to analyze government policies and their impact on the Canadian economy. Provide insights to policymakers on economic growth, employment, and social well-being.

Employer Profiles

Business Intelligence Employers

Elevating businesses towards a sustainable and prosperous future through insightful data-driven decisions powered by business intelligence. These are the Canadian based employers that are providing jobs in Business Intelligence industry:

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Agilisium

Agilisium specializes in developing and implementing advanced data-driven innovation techniques. Their focus is on addressing the escalating volume and complexity of organizational data, providing trusted analytics that deliver in-depth analysis. This approach places data and insights at the core of decision-making processes, ensuring organizations are well-equipped for informed and strategic choices in today's dynamic business landscape.

Tiger Analytics

Tiger Analytics is dedicated to helping clients drive the right course of action, dispel ambiguity, and move ahead with confidence by bringing the best of AI and analytics together. They go beyond industry standards, tackling challenges and adding value by putting together teams with a mix of a can-do attitude, expertise, forward-thinking, and a willingness to try new things. Their unique approach helps overcome these obstacles and create effective solutions.

iberis Software

iBeris is a software consulting company that focuses on top-notch Quality Assurance (QA), Software Development, Data Analytics, Digital Transformation, Project Management, Business Analysis, and Cloud Managed services. They view the world through the lens of ever-evolving technology, making them the preferred IT Managed Service Provider. This way, their clients can focus on their core business, leaving the technology management to them.

Analytic Brains

Analytic Brains is a team of experienced data scientists that are committed to bringing value to their clients. They have created a team of highly motivated professionals that are focused on establishing long-term relationships with clients and customers. They can deep dive in Banking & Financial Services, Mortgage, Pharma & BioTech domains. Apart from traditional technologies, they pride themselves in Analytics and Mobility.

Sanorac

Sanorac brings rigorous experience in various domains, including retail, manufacturing, distribution, travel, services, and software industries. Their industry expertise, coupled with innovations, design, and the utilization of cutting-edge technologies, enables the delivery of value to customers. They specialize in managing projects related to Data Analytics, Application Development and Support, Database and Cloud migration, and offer advisory services for businesses aiming to transition towards digitization.