Expert Predictive Analytics Consulting Services

Our predictive analytics consulting services help businesses reduce uncertainty and prepare for the future with the power of predictive analytics.

Why your business needs predictive analytics

Enhance planning and forecasting

Predict future trends and outcomes and leverage the information for more accurate planning and forecasting. This enables you to better prepare for what’s ahead, ensuring you’re always multiple steps ahead of the competition.

Optimize resource allocation

Reduce waste and maximize efficiency across your organization by allocating resources to where they’re needed most. Estimate demand accurately, optimize your supply chain, and improve workforce planning.

Improve strategic decisions

Empower leaders with data-driven insights to make smarter strategic decisions. Our Predictive analytics services provide a clear picture of likely future outcomes, allowing you to devise forward-thinking strategies.

Maximize profit potential

Identify high-value opportunities by leveraging predictive insights, unlocking more sales and potential new revenue streams. Coupled with minimized losses through better resource allocation, you can maximize profitability.

Enhance risk management

Strengthen your risk management capabilities with our predictive analytics solutions. Identify potential risks before they manifest and develop proactive strategies to mitigate them, ensuring your business remains secure and compliant.

Gain competitive advantage

With actionable insights, you can innovate faster and avoid some of your competitors’ decision-making pitfalls. With data-driven foresight, you can become a market leader and capitalize on market shifts and emerging trends more quickly.

Our predictive analytics consulting services

Strategy and consulting

Develop a robust and agile predictive analytics strategy tailored to your business needs. Our predictive analytics consultants provide technical and industry know-how to guide you through success with clear objectives.

Model development

Deploy advanced predictive models that drive accurate forecasts and strategic insights. Our specialists develop models based on your specific industry and strategic goals, ensuring you stay ahead of the market.

Training and development

Equip your team with the knowledge and skills to leverage predictive analytics tools effectively. We offer comprehensive training programs to enhance your team’s data analysis capabilities and promote continuous learning.

Data integration

Integrate historical data from multiple sources seamlessly to create a unified and complete overview of your business. Our data integration services ensure insights are based on comprehensive and accurate information.

Data visualization

Convert complex data and insights into compelling visuals and dashboards with data visualization. Our experts provide intuitive, easy-to-understand visual representations of your data, enabling better decision-making and communication.

Real-time analytics

Gain immediate insights with real-time analytics. Our predictive analytics solution enables you to monitor data as it flows, allowing for quick decision-making and timely responses to market changes.

Our approach to implementing a predictive analytics project

Phase 1: Initial consultation

We begin with a thorough consultation to understand your business needs and gather input from key stakeholders, ensuring alignment on objectives and expectations.

Phase 2: Analytics assessment

We conduct a comprehensive assessment and create a project roadmap with SMART objectives, key metrics, and clear deadlines to guide the implementation.

Phase 3: Data gathering

Our team gathers and transforms your data, ensuring it is clean, structured, consistent, and ready for analysis. This phase is crucial for building accurate predictive models.

Phase 4: Data modeling

Using our data mining statistical analysis expertise, we produce models tailored to your needs, selecting the most appropriate modeling tools and techniques.

Phase 5: Model testing

We rigorously finetune and test the model to ensure it performs accurately and reliably, making necessary adjustments to optimize its effectiveness.

Phase 6: Model deployment

Once the model is ready, we deploy it within your business systems and provide ongoing maintenance to ensure it remains effective and adaptable.

Why choose ExistBI for your predictive analytics consulting services?

Expert consulting team

Our seasoned consultants have extensive experience in diverse predictive analytics use cases, from customer segmentation to predictive maintenance and pricing optimization, using advanced analytics, machine learning, modeling, and industry-specific applications.

Industry-leading framework

We combine the CRISP-DM methodology with an agile approach, making predictive models highly adaptable. This integration ensures models are built efficiently and remain responsive to dynamic market conditions, especially for internet-based businesses.

Data quality and governance

ExistBI places a premium on data governance. Each model is built with secure and high-quality data for accurate predictive modeling. This enables you to make informed decisions based on reliable insights into your business processes.

Tailored and flexible solutions

We build each model with your specific business context in mind, ensuring a tailored approach rather than a generic solution. This flexibility ensures models are effective and relevant to the business problem.

Proven business benefits

Our predictive analytics solutions deliver tangible benefits, such as refined customer segmentation, optimized marketing strategies, reduced operational costs, and increased profitability.

Versatile domain expertise

ExistBI’s domain expertise spans multiple industries, including healthcare and finance. This broad experience helps us address specific challenges and leverage opportunities unique to each sector.

Use cases of predictive analytics across industries

E-Commerce

Customer lifetime value prediction
Cash flow forecasting
Personalized product recommendations

Retail

Predictive inventory management
Customer purchase behavior analysis
Dynamic pricing optimization

Manufacturing

Predictive maintenance
Quality control and defect prediction
Demand forecasting

Finance

Fraud detection
Credit risk assessment
Stock market forecasting

Healthcare

Predictive patient diagnosis
Hospital readmission prediction
Personalized treatment plans

Telecommunications

Customer churn prediction
Network failure prediction
Targeted marketing campaigns

Energy

Energy consumption forecasting
Equipment failure prediction
Grid optimization

Supply chain

Route optimization
Demand planning
Inventory level prediction

Automotive

Price optimization
Capacity planning
Demand forecasting

Predictive Analytics Case Studies

U.S. Air Force – Data Management, Data Governance & Informatica Expertise

Recent Case Studies, BI Analytics Case Studies, Big Data Case Studies, Data Governance Case Studies, Data Lake Case Studies, Data Quality Case Studies, Data Science Case Studies, Databricks Case Studies, Industry: Public Sector and Government, Informatica Case Studies, Machine Learning Case Studies, Predictive Analytics Case Studies, Tableau Case Studies

Read why ExistBI was shortlisted by the U.S. Air Force’s to support the ambitious VAULT data platform project.

Process Insights – Complex Cross-Border Cloud Data Warehouse with Azure SQL and Power BI Case Study

Recent Case Studies, BI Analytics Case Studies, Business Intelligence Case Studies, CRM Case Studies, Data Integration Case Studies, Data Lake Case Studies, Data Quality Case Studies, Data Science Case Studies, Data Warehouse Case Studies, ERP Case Studies, Industry: Manufacturing, Industry: Retail, Machine Learning Case Studies, Microsoft Azure Case Studies, Microsoft Case Studies, Microsoft Power BI Case Studies, Predictive Analytics Case Studies, Regulatory Compliance Case Studies, Salesforce Case Studies, Support Services Case Studies

Read how ExistBI designed a tailored solution that will give unprecedented insights into the company’s operations across international locations.

Boyd – Data warehouse delivers unified view and decision-making

Data Warehouse Case Studies, BI Analytics Case Studies, Big Data Case Studies, Business Intelligence Case Studies, CRM Case Studies, Data Governance Case Studies, Data Integration Case Studies, Data Lake Case Studies, Data Migration Case Studies, Data Quality Case Studies, Data Science Case Studies, ERP Case Studies, Industry: Manufacturing, Informatica Case Studies, Machine Learning Case Studies, MDM Case Studies, Microsoft Azure Case Studies, Microsoft Case Studies, Microsoft Power BI Case Studies, Predictive Analytics Case Studies, Recent Case Studies, Regulatory Compliance Case Studies, Salesforce Case Studies, Support Services Case Studies, Tableau Case Studies

Learn how ExistBI designed a data warehouse using MS SQL Server, Informatica and Power BI for complete view of global operations.

FAQs

What is predictive analytics?

Predictive analytics forecasts future behavior or events by analyzing current and past data. It involves using advanced machine learning algorithms and statistical analysis to identify trends and patterns.

Who uses predictive analytics?

Companies in a wide range of markets, including manufacturing, e-commerce, retail, financial services, energy, utilities and mining, telecoms, pharmaceuticals, and healthcare, use their data proactively to gain multiple benefits. These include:

Businesses that have good data management in place and who want to benefit more from it, for example, exploiting their ‘single view of the customer.
Enterprises looking to create more refined customer segmentation with product portfolios tailored to them.
Organizations looking to improve business performance and decrease costs through greater control of customer relationships.
Companies looking to increase profitability by improving up-selling, cross-selling, and customer retention strategies.

What types of data are required for predictive analytics?

Predictive analytics requires reliable, structured, consistent data stored in a well-designed data warehouse. The data required will depend on the use case and business context.

How does ExistBi’s predictive analytics consulting work?

As a renowned predictive analytics company, we use a framework that combines the industry-standard CRISP-DM (CRoss-Industry Standard Process for Data Mining) process with an agile approach, making models responsive to market changes. We help our clients develop models to uncover patterns that can predict future behavior and outcomes.

How long does it take to see results from predictive analytics?

The timeline for seeing results can vary based on the project’s complexity and data quality. Some businesses already have a single source for all their data, while others will require significant work to ingest data from multiple sources. Our approach uses a framework focused on delivering business results quickly.

Do you provide training for using predictive analytics tools?

ExistBI offers training and development services to help businesses effectively use predictive analytics tools and integrate them into their data strategy and existing business systems. We also provide training across other big data analytics services and technology.

Can predictive analytics be integrated with existing business systems?

Our predictive analytics solutions are tailored to integrate seamlessly with your existing business systems. Our initial predictive analytics assessments reveal your current data architecture and business systems. We then use that knowledge to determine the appropriate technology to integrate seamlessly with your existing systems.

How do you ensure the accuracy and reliability of predictive models?

ExistBI emphasizes high-quality data and robust data governance. Our consultants work closely with clients to understand the business meaning of the data, ensuring that models are accurate and reliable. We also assign a domain expert predictive analytics consultant to the project to ensure our models align with your business goals.