Unlock actionable insights and streamline decision-making with sophisticated executive dashboards.
The rise of advanced analytics and generative AI has given business leaders a different perspective and approach towards data and insights. It’s time for them to build a robust data architecture that allows instantaneous information flow, enhanced customer insights, better business intelligence (BI), and faster delivery.
At 10Pearls, we extend your data prowess and turn it into an everlasting source of business value. Our bespoke solutions encompass all facets of data, analytics, BI, and AI, enabling you to drive innovation and gain a competitive advantage. Whether you require a customized data solution or need to augment your team with our highly skilled and experienced data engineers and scientists, 10Pearls is a partner that can help you scale and innovate responsibly to showcase key business values on your analytics dashboard.
Equipped with a deep understanding of your business and analytics methodologies, our big data consultants become your trusted advisors, auditing your existing data architecture and processes before recommending custom, inventive strategies optimized for your unique business goals.
Our BI consultants foster data-driven decision-making by reinventing key processes and providing real-time visibility into KPIs across all business functions. We enable you to work with certified professionals who allow you to adapt to widely used BI tools like PowerBI and DataBricks and harness their AI-powered capabilities to process, transform, and analyze enterprise-grade data, making it accessible and understandable for everyone.
We navigate your journey towards data fluency by creating a roadmap aligned to your strategic goals for maximizing ROI across use cases like customer intelligence, predictive maintenance, supply chain optimization, etc. Our actionable data strategies have enabled clients to accelerate complex data transformation initiatives by adopting next-gen capabilities without disrupting daily business operations.
We implement privacy-focused frameworks for managing sensitive data, providing granular access controls, encryption, masking, and synthetic data generation, ensuring compliance with data protection regulations while ensuring seamless data utility.
Our data scientists accelerate your ML/AI initiatives and drive intelligent automation at scale. We build, train, deploy, and monitor machine learning models based on high-quality data using MLOps best practices while ensuring relevancy and accuracy. From deep learning to generative AI, we integrate intelligent, inventive capabilities that are profitable in the long run.
We leverage AI algorithms to analyze historical data and identify complex patterns, enabling the development of predictive models for forecasting future outcomes.
We use AI-powered NLP tools that extract insights from unstructured data sources such as text documents, emails, social media posts, and customer reviews to uncover valuable information, understand sentiment, and derive actionable intelligence for informed decision-making.
We leverage AI to analyze user behavior and preferences and provide personalized recommendations, such as product recommendations on e-commerce websites or content recommendations on streaming platforms.
Using AI, we analyze images and videos to extract valuable insights, such as object detection, facial recognition, or visual content analysis for verification or security purposes.
We build enterprise-grade data pipelines facilitating data’s seamless and scalable movement across complex ecosystems, leading to quicker analytics and better decision-making.
We have seamlessly migrated complete enterprise-grade data from legacy data warehouses into modern, cloud-native databases while ensuring minimal downtime and enhanced operational velocity. Our database experts modernize legacy systems via incremental migration, ensuring business continuity.
We import, export, and transform your data between different databases and environments. Our data engineers help you leverage industry-standard tools to manage data from various sources and enable seamless data transformation, extraction, and ETL.
Our ETL experts modernize legacy data integration platforms using our big data solutions to facilitate faster, cheaper, and easier data migration into cloud-based databases. We help enterprises embrace innovation and agility by significantly reducing dependence on legacy systems.
In order to get the best outcomes from your machine learning models, it’s important to provide them with excessive training data. Our advanced data augmentation methods significantly expand your datasets, increase their quality, and improve model accuracy without requiring more raw data.
We design and build flexible, scalable data platforms on the cloud that meet your current and future analytics needs, from basic business intelligence to advanced artificial intelligence applications.
We implement high-performance cloud data warehouses that consolidate your enterprise data for business reporting and analytics. We migrate your complex legacy systems onto cost-effective, easy-to-use cloud platforms.
Our data engineers quickly set up cloud data lakes to capture, process, and analyze structured and unstructured data. We ingest real-time data streams for instant analytics. Our auto-tiered storage optimizes costs dynamically.
We integrate your full range of analytics databases, tools, and environments on-premise and across multiple clouds into a cohesive data fabric to get a unified view. We make it easy for teams to access and leverage these tools effectively.
Our data visualization experts leverage tools like PowerBI, Databricks, Tableau, and Looker to present raw data in an interactive, visually appealing, and understandable manner. We build easily navigable dashboards, reports, and stories that translate analytics into resonant business impact.
Equipped with a deep understanding of your business and analytics methodologies, our big data consultants become your trusted advisors, auditing your existing data architecture and processes before recommending custom, inventive strategies optimized for your unique business goals.
Our data scientists accelerate your ML/AI initiatives and drive intelligent automation at scale. We build, train, deploy, and monitor machine learning models based on high-quality data using MLOps best practices while ensuring relevancy and accuracy. From deep learning to generative AI, we integrate intelligent, inventive capabilities that are profitable in the long run.
We build enterprise-grade data pipelines facilitating data’s seamless and scalable movement across complex ecosystems, leading to quicker analytics and better decision-making.
We design and build flexible, scalable data platforms on the cloud that meet your current and future analytics needs, from basic business intelligence to advanced artificial intelligence applications.
Designed ETL processes to extract data from IoT devices located in SQL Server, transferring it to Azure Data Lake, data warehouse using Azure Data Factory pipelines. Implemented data visualization utilizing Power BI.
Architected a data layer incorporating business insights from diverse data sources. Enabled end-to-end monitoring through a dashboard providing metrics related to energy consumption, collection, outages, and risks across the entire system.
Contributed in identifying data performance issues and boosted report generation speed by optimizing Redshift and PostgreSQL queries with targeted indexing. This facilitated faster insights, increased productivity, and improved cost-effectiveness.
