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Data Strategy and Engineering

In order to make your business lucrative, the plan is also essential for identifying your target market and possible market segments.

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Data Strategy and Engineering

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  1. Data Strategy and Engineering

  2. What are Data Strategies? A very dynamic process called a "Data Strategy" is used to support the collection, organization, analysis, and delivery of data in support of corporate goals.

  3. What are the Four Big Data Strategies? 1. Define Business Goals and Objectives Make sure your plan addresses important business issues and key performance metrics, as well as your broader corporate business objectives. 2. Identify Data Sources Identify the diversity of your data and evaluate the organization's present business procedures, data sources, data assets, technology resources, capabilities, and rules. 3. Identify and Prioritize Use Cases Find big data use cases that support the goals you set for your business in step one. Analyze your massive amounts of data using big data analytics to find hidden patterns, correlations, and other insights. You should be able to develop and improve use cases with the aid of these activities. 4. Create a Roadmap for Big Data Projects Any gaps you have in data architecture, technology and tools, processes and skill sets should be the primary focus of the roadmap exercise. Reviewing the use cases that were given priority in step 3 will probably be prompted by the gap analysis.

  4. What Makes a Good Data Strategy? In addition to considering data storage, a data strategy must include how data is recognised, accessed, shared, interpreted, and used. A data strategy must take into account all of the many data management disciplines in order to be effective.

  5. Why is a Data Strategy Important? Data strategy has been crucial in recognising and understanding customers and making the right decisions to support growth in your business, especially in light of the increasing globalization and technological advancements that are driving modern economics. In order to make your business lucrative, the plan is also essential for identifying your target market and possible market segments. ● ● ● ● Ensures Data Security Improves Decision Making Identifies and Exploits New Business Opportunities Enhanced Efficiency

  6. What is Data Engineering? Data engineering is the practice of developing large-scale data collection, storage, and analysis systems. It covers a wide range of topics and has uses in almost every business.

  7. Common Tasks Data Engineers Do ● Get Datasets That Are in Line With Your Company's Demands. ● Create Algorithms to Turn Data Into Information That Can Be Used To Take Action. ● Construct, Evaluate, And Keep Up Database Pipeline Designs ● Work Together With Management To Comprehend Business Goals ● Create Fresh Data Validation Techniques and Technologies. ● Ensure That Data Governance and Security Policies are Being Followed

  8. How Do You Develop a Data Strategy? - Things to Consider ● Your Industry and Company Strength ● Your Current Level of Data Maturity ● Your Data Management Team, and more ● Draw up a Plan for Your Data Architecture ● Define the Connection Between Your Teams and BI ● Give Ownership a Name ● Organize Data Governance ● Regularly Reevaluate

  9. Thank You…

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