Data Engineering
Mission Possible: Turn Complexity into Clarity
Thrive Through Data: Maximize Impact and Streamline Operations
Business leaders grapple with complex challenges in implementing data engineering, from the nuanced interplay between data security and access to scalability hurdles and real-time processing demands. At LatentView, we address these issues head-on. We help you implement robust data governance, overcome scalability issues through cloud-based solutions, and embrace emerging technologies seamlessly.
We focus on unifying disparate systems to eliminate data silos and achieve data consistency across your organization. We empower your teams to navigate the evolving landscape of data engineering, ensuring your business thrives in the era of data analytics.
Data Migration
Migrate data faster, better, and cost-effectively
- Migrate data seamlessly from legacy systems to modern platforms: Bridge the gap between outdated infrastructure and cutting-edge technology, future-proofing your data management.
- Ensure data integrity and security throughout the process: Implement robust migration strategies that protect your valuable information from errors and unauthorized access.
- Minimize downtime and disruption: Orchestrate smooth data migrations with minimal impact on your daily operations, ensuring business continuity.
Data Activation
Quick intelligence. Timely action. Better outcomes.
- Break down data silos and democratize access: Make your data readily available and easy to use for everyone in your organization, fostering data-driven decision-making at all levels.
- Develop self-service analytics platforms: Empower users to explore and analyze data independently without relying on technical expertise.
- Integrate data seamlessly across applications: Eliminate data silos and create a unified data landscape, ensuring consistent and reliable information across your organization.
Data Platform Modernisation
Redefine efficiency and streamline data movement
- Modernize data platforms: Scale horizontally and vertically to handle growing data volumes and evolving business requirements. Ensure that your architecture allows seamless scalability by leveraging cloud-based solutions, containerization, or other scalable infrastructure technologies.
- Extract data from diverse sources: Connect to an array of data sources, both internal and external, to gather the information you need to make informed decisions. Cleanse, validate, and transform your data to align with your specific needs and analytics requirements.
- Load data into your target systems: Deliver ready-to-analyze data to your data warehouse, data lake, or other analytics platforms, ensuring timely and efficient access for users. Prioritize security measures to safeguard sensitive data. Implement encryption, authentication, and authorization mechanisms throughout the data lifecycle.
Data Quality
Achieve precision in every byte
- Identify and rectify data inconsistencies and errors: Clean your data and ensure its accuracy, completeness, and consistency, improving the reliability of your analysis and decision-making.
- Establish data governance and quality standards: Implement data governance frameworks to ensure the quality and integrity of your data throughout its lifecycle.
- Monitor data quality continuously: Proactively identify and address data quality issues before they impact your analytics and operations.
MigrateMate
Swift, seamless, and secure cloud migration
MigrateMate is a platform-agnostic and automated data migration solution, designed to simplify and streamline moving your valuable data from on-premise platforms to the cloud.
MigrateMate
Swift, seamless, and secure cloud migration
MigrateMate is a platform-agnostic and automated data migration solution, designed to simplify and streamline moving your valuable data from on-premise platforms to the cloud.
Success Stories
Achieving Optimal Data Consumption Through Cloud Migration
An American Fortune 500 consumer retail company wanted to optimize its data operations by retiring its on-premise data management setup to a cloud-based data platform. Watch how LatentView Analytics’ effective cloud migration solution resulted in optimal data consumption.
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Cost savings with the proposed POC
Reducing throughput assay time by 85% with AI-powered computer vision
A Fortune 500 conglomerate wanted to utilize Computer Vision to assist in drug discovery. LatentView Analytics developed a powerful model using a combination of hand-crafted and deep-learning-based features from convolutional neural networks. The model quantifies the mechanism of action of drugs by capturing several morphological changes due to active drug samples.
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Reduction in the throughput assay time
Be “One of a Kind” with Smart
Innovation 3
Smart Innovation, an AI/ML-powered engine, dramatically improves the success rate of innovation by a remarkable five times. It achieves this by analyzing data points derived from consumer reviews, social media conversations, and product-related data. This analysis identifies potential opportunities within emerging trends and prescribes precise product attributes that align with them. By enhancing the success rate of innovation, Smart Innovation identifies trends ahead of the curve and significantly reduces time to market
Be “One of a Kind” with Smart
Innovation 4
Smart Innovation, an AI/ML-powered engine, dramatically improves the success rate of innovation by a remarkable five times. It achieves this by analyzing data points derived from consumer reviews, social media conversations, and product-related data. This analysis identifies potential opportunities within emerging trends and prescribes precise product attributes that align with them. By enhancing the success rate of innovation, Smart Innovation identifies trends ahead of the curve and significantly reduces time to market
Put Your Data On The Pedestal
We help you take control of your data and build reliable systems to empower your data teams and drive better business outcomes.
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