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Strategy & Consulting Services

Visionet’s Data Analytics & AI-powered business strategies help organizations scale up and meet their business needs effectively in today’s modern, constantly-evolving, and competitive landscape. Our wide range of service offerings combined with our extensive industry knowledge allows us to understand clients’ unique business needs and offer tailored services. Our Strategy & Consulting services seamlessly infuse customer data with the desired business objectives, allowing them to maximize revenue, drive efficiencies, and enhance customer satisfaction.

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Crafting data strategies for clients

Retail and Supply Chain

Crafting data strategies for clients to help them optimize their retail and supply chain operations and enable them to envision and implement business use cases. We enable clients to integrate data and AI solutions seamlessly in their business strategies allowing them to grow market share, streamline supply-chain & logistics processes, understand customer behavior, optimize inventory levels, track key financial metrics, and much more.

 

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Leveraging data & AI solutions

Life Sciences

Leveraging data & AI solutions to enable strategy creation for clients, allowing them to focus on drug discovery, health technology assessment, public health programs, and patient care.

We use modern technologies and offer seamless end-to-end integrated solutions that help clients process data faster for analysis, maximize impact, improve the efficiency and quality of care, ensure compliance, and lower healthcare costs.

 

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Enabling insurance providers

Insurance

Enabling insurance providers to tackle challenges such as effective use of data, faster processing of risk assessment models, and driving sustainable growth. 

Using our expertise, insurance providers can make data-driven decisions for underwriting, CAT modeling, portfolio management, new business acquisition, cross-sell/upsell opportunities, risk analytics, and sales & marketing initiatives.

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Creating comprehensive data strategies

Banking

Creating comprehensive data strategies for banking products and services by leveraging the power of data & AI. Our offerings utilize intelligent data-driven capabilities and allow banking clients to create churn score predictions, financial fraud detection modes, and profit scoring systems for financial goods, and perform interest rate optimization– enabling you to save costs, attain faster time-to-market, and reduce risks associated with scalability and deployment.

Our Key Offerings

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Data Analytics Consultation & Modernization

Help cater to clients’ analytics needs from every angle and provides industry-based expertise to elevate existing intelligence platforms and create a competitive advantage.

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Cloud Enablement & Adoption

Formulate a roadmap and technical expertise for Cloud enablement, allowing organizations to transition their data platforms to the Cloud for enhanced scalability and increased operational efficiency.

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Data Governance & Security

Assist in the creation of refined data governance strategies by deploying holistic data management & security capabilities that allow organizations to align their people, processes, and technologies with the business objectives in order to minimize risks and implement compliance requirements.

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AI Roadmap & Strategy Services

Evaluation of clients’ current processes and business objectives to identify opportunities for AI-first process transformation, leading to end-to-end AI & ML solutions that coexist with current systems to provide predictive and prescriptive insights and allow for capitalization of growth opportunities while achieving cost efficiencies.

Case Studies

Maximizing Customer Satisfaction and Boosting Operational Efficiency with an Advanced Customer Data Platform (CDP)

Visionet teamed up with a leading fashion brand to implement a state-of-the-art retail data platform. We equipped the client with the cross-channel data management platform and enabled them to better understand customer interactions.

Download case study

Insights

How Data Analytics Enhances Customer Experience

Data analytics works like magic when utilized properly. It has not only refined the customer experience but also revolutionized the customer-marketer relationship while multiplying sales and enhancing customer satisfaction. Paul Gaynor, a partner at PwC, states that advanced business analytics has the potential to predict everything from customer interaction to financial transactions, anywhere in the world. This equates to data as no less than a superpower for businesses today.

Read more How Data Analytics Enhances Customer Experience

AI-Powered Big Data Analytics for Insurance is the New Normal

The COVID-19 pandemic is creating unprecedented disruptions around industries and insurance is not an exception. A pandemic coupled with economic uncertainty poses an opportunity as well as a major challenge to quantify risk and customer engagement for insurance companies. The main reason behind this disruption is the mandatory social distancing measures, signifying that digital transformation is not an optional creative idea anymore but a requirement. It will affect all aspects of the insurance business from underwriting to claims processing. Using rapidly changing alternative data and advanced big data analytics for insurance is no longer a nice-to-have option but will be a strong pillar of the insurance business strategy.

Read More AI-Powered Big Data Analytics for Insurance is the New Normal

Remodeling your Marketing, Sales, and Merchandising departments for the data-centric enterprise

As digital services permeate every aspect of the world around us, data has begun to assume a central role. With increasing customer demands, growth expectations, and the need to evolve rapidly, data is an organization’s biggest source of competitive advantage. Real-time insights gathered by data are crucial to support digital initiatives and allow organizations to make better operational choices.

Read More Remodeling your Marketing, Sales, and Merchandising departments for the data-centric enterprise

Data analytics and mass-customization in production: Delivering personalization at scale

Personalization is increasingly becoming an important part of the shopping experience. Customers who may have hesitated to provide their personal information in the past now appreciate customized product recommendations based on their engagement history with a brand. Brands feel the need to cater to this growing demand for personalization. If they can create value for customers on a personal level, they can then create meaningful connections and build a loyal customer base.

Read More Data analytics and mass-customization in production: Delivering personalization at scale

Demand Forecasting: How to Slash Inventory Using Machine Learning & Signal Processing

The spreadsheet-based manual forecasting approach that is still used in many retail organizations is not suitable for staying ahead of the competition and improving their bottom line. Manual adjustments of forecasts in this method leave all inventory spend decisions to human judgement, which pushes towards generalized decisions rather than going with product, vendor, and market-specific indicators.

Read More Demand Forecasting: How to Slash Inventory Using Machine Learning & Signal Processing
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