Visionet's Modern Data Platform

Making data relevant

Step ahead in today’s era of continuous innovation and rising competition by leveraging Visionet’s extensive expertise in designing and implementing modern data platforms that allow you to accelerate your organization’s growth and meet your business objectives. 

Our modern data platform solutions enable you to ingest data from multiple sources and consolidate it into a robust data model - allowing you to leverage advanced analytics tools and AI/ML algorithms to activate data and extract rich, actionable insights that fuel your business decisions. 

Visionet’s proven track record in architecting modern data platform solutions based on your unique needs allows you to overcome the challenges that stem from fragmented data sources, siloed data, lack of scalability, and inefficient data warehousing. With a modern data platform, you can not only understand, unify, mobilize, and govern your data but can also create a unified and transparent record of truth that empowers you to drive business value. 

Key Components

Data Virtualization

Reap the benefits of rich and diverse sources of data within your organization by leveraging advanced integration capabilities of a data virtualization layer that allows users to access data from its source without the need for replacing it. This approach provides users with integrated data in real-time, enabling them to search, govern, and analyze unified data to execute day-to-day data and analytics use cases. Data virtualization layers also feed data to downstream applications and BI reporting tools and provide users with a single source of truth which ensures data reliability.

Data Governance

Define robust governance policies that bring together people, processes, and technologies to ensure reliability, completeness, accountability and compliance of data in order to enable easier collaboration between stakeholders and achieve business objectives. Assign data ownership and responsibilities to data stewards and other key roles, and create a comprehensive data management strategy to ensure data is trusted, secure & confidential.

Data Quality

Ensure completeness, accuracy, reliability, and consistency of your data by defining data quality metrics, measurement criteria, and data assessment rules to ensure the right data is always available to business users. Having a robust data quality strategy in place ensures all decisions based on data are sound, thus improving business efficiency and maximizing value. Visionet’s Data Quality Framework automates data quality testing from data ingestion to data consumption layers, based on user-defined data rules. Our framework speeds up the data cleaning process and ensures accurate data is available for business use.

Metadata Management

Create a comprehensive metadata management strategy to aggregate all metadata in a single repository and make it easily accessible to all business users, thereby allowing them to organize, track and utilize data as needed. With strong metadata management policies, organizations can ensure improved data quality, increase operational efficiency by reducing redundancy, and extract the true value of data by making data-backed decisions.

Data Fabric

Maximize business value with Data Fabric which utilizes the power of machine learning along with knowledge graphs to create seamless data integrations and facilitate faster decision making by providing a 360° view to business users of all enterprise data. Using intelligent integration combined with core capabilities of data catalogues, data engineering and data governance, Data Fabric provides business users easy access to high-quality data for their analytics needs while ensuring compliance with privacy rules.

Data Lakehouse

Modernize your data ecosystem with a Data Lakehouse which combines the benefits of data lakes and data warehouses and enables organizations to maximize their efficiency by providing cost-effective data storage, reduced data movement, access to complete and updated data, and unified data schema and governance. With these advantages, Data Lakehouse allows business users to easily extract value by analyzing large volumes of data quickly using advanced BI tools & AI/ML techniques.

Data Mesh

Leverage the power of distributed data architecture and decentralized data management with Data Mesh which transfers responsibility to respective business domains for publishing data and ensuring its quality and security. Data Mesh allows business users across the organization to access and analyze data securely, quickly and easily based on published metadata and established access protocols. By enabling convenient and secure access to data based on user needs, Data Mesh enables organizations to think of data as a product and create a data-driven culture with self-service features.

The Benefits of Modern Data Platform

Visionet’s Expertise

The Benefits of modern data platform
  • Unified data platform with centralized, integrated data from disparate sources
  • A single version of truth across the organization with consolidated data
  • Increased operational performance
  • Reduced redundancy by optimizing processes and eliminating bottlenecks
  • Enablement of self-serve analytics, cross-source reporting, and dashboarding to drive data-driven decision-making
  • Enablement of near real-time data processing, reporting, and advanced analytics
  • Ability to augment current analytics with AI/ML-based algorithms and advanced data science tools
  • Creation of data-as-a-service & other data monetization opportunities

Case Studies

Breaking Down Silos: Enabling a holistic data view for a leading cosmetic treatment brand

Our client is a global medical device company based in Massachusetts, specializing in manufacturing aesthetic and medical lasers for various treatments. It operates in over 130 countries, providing training, support, and resources to medical professionals.

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Case Studies

Transforming A Leading FMCG's Data Infrastructure For Improved Distributor Management and Business Growth

The case study is about a multinational consumer goods company that operates globally and owns over 400 popular brands. Due to the size of its distribution network, the company was generating large volumes of raw data daily and struggled to track key performance indicators and track distributor performance. To address these challenges, Visionet implemented a modern data platform to store and process large amounts of data, which also empowered the client to easily analyze and decipher the data without creating dependencies on the internal IT team.

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Case Studies

Data Warehouse Modernization with Azure for an American Power Tools Retailer

Our client is the leading online power tools and equipment retailer in America, providing a comprehensive range of tools, accessories, and supplies to professional tradesmen and DIY customers via its website and other eCommerce platforms like Amazon. It offers new and refurbished tools from renowned brands and specialty businesses, enabling seamless access to industry- leading equipment at affordable prices. With 18 years of expertise, the brand proficiently caters to the specialized needs of its customers.

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Case Studies

Europe's Largest Specialty Pharmacy Transforms Its Data Management For Data-driven Healthcare

On the lookout for a reliable data platform partner to help them deliver quality care and maximize patient satisfaction, a leading specialty pharmacy in Europe trusted Visionet’s Modern Data Platform. This collaboration allowed the brand to bridge the gaps in its healthcare system and offer personalized patient care with a 360° patient view.

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Case Studies

Fortune 500 Insurer gains improved performance l Case Study

The client is a leading US-based, Fortune 500 annuities and life insurance provider delivering its services via independent distributors. The company provides services to over 2 million customers and its aim is to deliver financial security to customers worldwide.

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Building a Strong Data Strategy: A Five-Step Plan to Drive Business Success

The importance of data in running a successful business cannot be overstated. To stay ahead of the competition, optimize operations, and unlock growth, organizations are willing to invest in a data strategy that aligns with their business goals.

Read more Building a Strong Data Strategy: A Five-Step Plan to Drive Business Success

Ensuring Smooth Data Operations for Modern Data Platforms

With the rapid growth and transformation in technology that the modern world is experiencing, every second enormous amounts of data are generated for both professional and personal purposes. 

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Data Platform Modernization

An Azure-powered robust modern data platform empowering customers to build a solid data foundation.

Donwload Brochure Data Platform Modernization

Data Quality: A Core Component of Modern Data Platforms

Data collected from a vast array of sources is ingested and processed by a modern data platform and made available to business users to extract valuable insights and drive business decisions. You may be wondering what role data quality plays in this process.

Read more Data Quality: A Core Component of Modern Data Platforms

Modern Data Platforms and Data Virtualization: The Key to Unlocking Your Data Potential

Imagine having all your data in one place, accessible in real-time, and ready to be analyzed with just a few clicks. Sounds too good to be true, right? Well, that's exactly what data virtualization can do for your organization.

Read more Modern Data Platforms and Data Virtualization: The Key to Unlocking Your Data Potential

Tokenization 101: How It Works and Why It Matters for Your Data Security

Many organizations are collecting and storing sensitive data about their customers which is why it is extremely important to protect and anonymize the data so it can be used easily by organizations while ensuring complete compliance with data laws and regulations.

Read more Tokenization 101: How It Works and Why It Matters for Your Data Security

The Ultimate Guide to Data Governance: Best Practices for Managing Data Intelligence

In today’s data-driven world, companies collect and store vast amounts of data. This data is often used to make important business decisions, perform predictive analysis, improve services, and create insights. However, if this data is not properly managed, it can lead to serious consequences such as data breaches, privacy violations, loss of trust in data, and sub-optimal decision-making.

Read more The Ultimate Guide to Data Governance: Best Practices for Managing Data Intelligence

Success Factors Of Having A Robust Data Platform For A Modern Enterprise

In today's data-driven world, we see businesses overwhelmed with the sheer volume and variety of data. To make sense from this exponentially growing data, organizations rely on traditional data management systems, which results in slower growth, higher inefficiencies, and inability to keep up with competition.

Read more Success Factors Of Having A Robust Data Platform For A Modern Enterprise

Data Mesh: Foolproof Your Data Architecture

Data warehouses and data lakes are critical elements used by many organizations to support modern data platforms. However, the outdated architectural design of present-day data platforms poses considerable challenges and have inevitable drawbacks that require attention.

Data Mesh, one of the most recent data architectures, addresses long-standing bottlenecks and constraints that might be present in monolithic architecture designs. Data Mesh prevents data siloes by developing an architecture where data is purposefully spread among multiple mesh nodes.

Read more Data Mesh: Foolproof Your Data Architecture

Data Lakehouse: The Future of Modern Data Warehousing & Analytics

In the data-driven world, modern data technologies are changing how businesses operate. Automated decision-making, simplifying large data chunks in minutes, and gaining actionable insights in real time is just the tip of the iceberg. With encompassing business benefits, it is of no surprise why many progressive companies hold a preference for modern data technologies.

Read more Data Lakehouse: The Future of Modern Data Warehousing & Analytics

Leveraging Microsoft Azure for Implementing a Modern Data Platform

Effective data management is a must have for any firm that wishes to flourish in today’s data driven world.  However, managing and analyzing large amounts of data can be a complex and challenging task, which is why many organizations are turning to modern data platforms to help them gain insights from data and make informed decisions.

Read more Leveraging Microsoft Azure for Implementing a Modern Data Platform
Building a Strong Data Strategy
Modern Data Platform
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A Core Component of Modern Data Platforms
Modern Data Platforms and Data Virtualization
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Success Factors Of Having A Robust Data Platform
Data Mesh: Foolproof Your Data Architecture
Leveraging Microsoft Azure for Implementing a Modern Data Platform

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