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.
Helping you select the ‘right-fit’ data and analytics platform that align with your goals and needs.
Identifying how to provide leadership with actionable insights taken from across teams and systems.
Improving marketing effectiveness through actionable insights taken from online and offline interactions.
Identifying the maturity of analytics practices, technologies, governance, and personnel to support organizational goals.
Empower your teams with access to decision-making information on their mobile phones.
Implementing ML and AI-based chatbots and Analytical Models that provide measurable outcomes.
Providing solutions to help you get a return on your big data practices and technologies investment.
Consulting, architecture, and implementation of SAP HANA® solutions for real-time data analysis.
Delivering big data solutions around the Hadoop ecosystem for processing a large amount of data.
Understanding data trends and providing a visual perspective to help make better decisions.
Creating actionable data and analytics aligned with how people want to consume it.
Creating a single view of data based on good modeling, consistent governance, and clean data.
Building and implementing ML-based Robotic Process Automation for optimizing manual activities.
Helping organizations implement an evolved Data Quality and sustaining Data Governance framework.
Creating predictive analytics and self-learning models for our customers to uncover obscure insights.
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.