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Design a scalable data framework and implement data workflows to empower data-driven decision-making across the business.
Data analytics has become increasingly crucial in today's business landscape. With the exponential growth in the volume, variety, and speed of data being collected globally, forward-thinking companies are leveraging this data to extract valuable insights, make data-driven decisions, and secure a competitive edge. As the backbone of any successful AI strategy for automating your business, data operations are the key to unlocking major productivity and efficiency gains.
According to IDC's 'Worldwide IT Industry 2018 Predictions', 90% of large enterprises are expected to generate revenue from data-as-a-service by 2020, up from nearly 50% in 2017, highlighting the significant rise in the strategic importance of data monetization.
Netflix leverages big data analysis and predictive algorithms to deliver highly personalized show and movie recommendations to their users. To unify their various data sources and ensure seamless operation as a cohesive data platform, they developed Metacat, which acts as a ‘single’ data warehouse across the organization.
Data engineering serves as the cornerstone of a robust data-driven approach, unlocking substantial business value. Below are some of the key benefits your business can gain from it:
Boost efficiency: Data engineers enhance business outcomes by proactively identifying the needs of data scientists and delivering well-prepared, accessible data.
Enhance data accuracy: Through data engineering, businesses can now collect data from multiple sources, refine it, and ensure its validity before integrating it into analytical systems.
Optimize your business: With their expertise in big data technologies, data engineers are uniquely qualified to design and implement the most efficient and tailored data architectures and processing pipelines to meet the specific needs of each business.
Leverage the potential of big data: While data engineering is beneficial for datasets of any scale, its true strength shines in the realm of big data analytics. Pairing AI with data engineering unlocks new insights to your business.
Every organization has its own distinct data engineering needs, making it essential to design customized, scalable solutions that grow with the business. Organizations that rely on accurate, high-quality data for informed decision-making can greatly benefit from data engineering and its broader application in data science.
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