Power Of Data.pdf
- 1. PowerofData
- 2. Agenda Gathering Data Data Cleaning And Insights Data Analytics
- 3. According to Nokia's annual Mobile Broadband Index (MBiT) report. average data consumption per user has risen sharply since 2018, reaching 19.5GB per user per month in 2022, total mobile data consumed in India is expected to more than double by 2024. DataConsumptionInIndia
- 4. DataGathering Data collection is the process of gathering data for use in business decision- making, strategic planning, research and other purposes. It's a crucial part of data analytics applications and research projects: Effective data collection provides the information that's needed to answer questions, analyze business performance or other outcomes, and predict future trends, actions and scenarios. In businesses, data collection happens on multiple levels. IT systems regularly collect data on customers, employees, sales and other aspects of business operations when transactions are processed and data is entered. Companies also conduct surveys and track social media to get feedback from customers.
- 5. DataCleaning AndInsights. • We gather data from different sources. • Handle missing data. • Fix structural errors. • Remove duplicate or irrelevant observations.
- 7. DataAfter Processing Just now You have seen a complex dataset but do not worry, Our data experts will provide you a structured report for better understanding the values as well as future decisions.
- 8. Data analytics is the science of analyzing raw data to make conclusions about that information. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption. Data analytics relies on a variety of software tools ranging from spreadsheets, data visualization, and reporting tools, data mining programs, or open-source languages for the greatest data manipulation. Data analytics help a business optimize its performance, perform more efficiently, maximize profit, or make more strategically-guided decisions. DataAnalytics P o w e r O f D a t a Data analytics is important because it helps businesses optimize their performances. Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business and by storing large amounts of data. A company can also use data analytics to make better business decisions and help analyze customer trends and satisfaction, which can lead to new—and better— products and services.