Transforming Your Data into Actionable Insights

Data and Analytics Services

Creating a data-driven organization, one that can see insights buried deep where competitors cannot, requires more than just access to data. It requires that organizations have a strategy, plan, and roadmap of how they plan capture, organize, curate, and finally analyze their data to create actionable insights for the business to become more competitive, efficient, and responsive.

We people improve their business by through data management and analytics, working with individual departments and across the enterprise, to employ solutions that use data that businesses are already collecting and generating from their operations. By working closely with stakeholders to understand their needs, we define strategies, roadmaps, implement technology, and guide our clients to make a data-driven organization possible.

Cloud Data Platform Strategy, Maturity Assessment, and Roadmap

Maximize return on data assets by defining the future state of the analytical program and conducting maturity assessment using 'Information Analytics Maturity Assessment Wheel©.'

Digital Marketing and Marketing Analytics Strategy

Address the ever-changing world of digital marketing by leveraging data to develop a strategy by using our 'Marketing Analytics Maturity Assessment Wheel©.'

Big Data Architecture and Development

Build self-serving data architecture, data models, and data pipelines for Bigdata platforms like GCP, AWS, Azure, and Snowflake by adopting our best practices.

High-Impact Visual Dashboards Builds

Create rich visualizations using enterprise dashboarding and reporting software, and build a storyline with custom open-source components like d3 or chart.

Campaign Management and Personalization

Drive engagement with targeted campaigns in Adobe, Marketo, Salesforce, Unica, etc. by using Machine Learning-based segmentation and integrating with the Marketing platforms.

Analytics Product Management

Define the roadmap, and cost of ownership for analytics program capabilities and the associated implementation plan, technology stack, garnering executive, and stakeholder sponsorship.

Purpose-Built Reports

Build uber reports and executive dashboards from transactional systems or streaming data that are not bound by a single underlying reporting tool stack.

Anomaly Detection Using Machine Learning

Predict issues in the processes and applications before they operationally manifest using machine learning and advanced analytics capabilities.

Data and Analytics Innovations

Nitrate™ – An AIOps Platform that Leverages AI and ML Capabilities

Nitrate™ leverages Artificial Intelligence (AI) and Machine Learning (ML) to understand the correlation and causality of operational incidents. It provides a holistic view of applications, analyzes the system’s health, detects anomalies, and constantly learns to keep the applications performance-optimized. Nitrate™ also has a built-in ML-driven ChatOps framework that helps teams in reducing dependencies on manual ‘search and react’ aspects of production operations.

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CARBON™ – Configurable Auto-Generating Big Data Ingestion Engine

Migration of data to seed data lake is a huge task, requiring a lot of development cycles to build the pipelines, and put auditing and error checking in place. CARBON automates the source metadata identification, builds the pipeline, including the deployment dags, based on the source (file, database, service or stream) with error checking and audit functionality.

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BEAT™ – Revolutionary Automated QA Testing and Auditing Tool

Automating ETL testing and data validation has been a gap in the industry. BEAT™ has a unique way to tackling this problem by building a solution that tackles this from the data consumers perspective. BEAT™ also moves data integration work to a BDD methodology for ETL stories.

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Experts

Praveen Chandra

Praveen Chandra

Practice Leader, Analytics and Data Management

Praveen leads the analytics and data management practice. Within his practice, he guides retailers and technology brands in the planning and delivery of business intelligence, analytics, and information management solutions. Having worked for several retailers prior to GSPANN, Praveen brings hands-on analytics and data management experience to our clients. Praveen is based in Milpitas, California.

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