Why Data Engineering and Cloud Analytics?
Every business from SMBs to the Fortune 500 faces challenges when executing their strategic initiatives. Today’s challenges are frequently driven by accelerating change resulting from digital transformation efforts across every industry. Business leaders must be equipped with accurate and actionable insights to quickly and effectively respond to these new digital opportunities and threats. In this environment, data is the new oil – the lifeblood of the organization.
Unfortunately, most companies are not prepared to thrive in this new data driven environment. Legacy on-premises applications, databases and data warehouses prevent many companies from taking advantage of the advanced cloud analytics capabilities available today to support nearly any data and analytics use case. Gravity Data Engineering and Cloud Analytics (GDECA) was founded to help organizations build the right data strategy and infrastructure to address emerging digital opportunities and threats and win in this dynamic environment.
Building Your “Cloud First” Path
We believe organizations must adopt a “Cloud First” data mindset to leverage the most accurate and actionable insights. This requires a solid cloud data foundation – one that uses clean, reliable data that is regularly maintained and managed - and a strategic, scalable architecture where data is aggregated and centralized for easy access and self-service reporting.
Gravity offers years of expertise to help you build your “Cloud First” data strategy. We start by understanding your organization’s strategic initiatives. We help you determine how your data can enable success. We then assess the current state of your data sources and provide clear direction and technical consulting to help you migrate to the cloud. We help you aggregate disparate on-prem and cloud data sources, provision necessary and reliable cloud infrastructure, and architect accurate and scalable data pipelines. Your organization can then begin to leverage the world’s most powerful data warehouses and create fast and powerful predictive and prescriptive capability through advanced analytics (AI/ML).