Data Engineering
Our experts will help your Organization in your Data Engineering journey, from developing data strategy, manage data effectively, have a robust governance around data and it’s processes and develop a data driven culture and automation
1. Introduction & Development of Data Strategy
We help you apply a value-creation framework by generating insights from data, enabling your organization to build data-driven products at scale. We guide you through a practical three-pronged approach of contextualization, ideation, and prescription to develop a successful and actionable data strategy.
2. Data Management
We guide you around key areas for data architecture, data storage, and data operations. Our experts help you assess the data life cycle and take a deep dive into crucial categories of data: metadata, reference data, transaction data, and master data.
3. Data Governance & Regulation
We help assess how data governance ensures that data stays reliable and secure. We work with you to develop an effective approach to data security and to understand the best practices for complying with privacy regulations, such as GDPR, HIPAA, and CCPA.
4. Data Processes & Technologies
We help you organize data technologies into four categories: data generation and acquisition; data integration and management; data analysis; and data operationalization. Following this, we help identify the right toolsets and applications to effectively manage your data portfolios.
5. Data Organization & Culture
We help your organization gain a high-level view of how to build a culture that enables data-driven decision-making. We assist in formally structuring your organization to create value from data, rewarding the decision-making process, and evaluating the importance of roles such as the Chief Data Officer (CDO).
6. Data at the Leading Edge
We help you look to the future of data, discovering what's possible in data science, AI, and different approaches that can boost the efficacy of your data-driven business decisions. We show you how to automate processes in ways never before possible, including through descriptive and prescriptive modeling.