Importance of Big data for your Business
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Big data refers to high-volume, high-velocity, and high-variety information that requires innovative processing for better decision-making. Small businesses gradually accumulate data, which necessitates a big data strategy over time for meaningful analytics and competitive advantages. Key challenges include data privacy, the need for effective storage and analysis, and integration with existing systems.
Importance of Big data for your Business
- 1. Importance of Big Data for Business
- 2. Big Data • Big data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
- 4. Small to Big • You think your data isn’t big? • Eventually it will be, over a period of time. • If you are a small business and say “we don’t have big data”, it simply means you are not collecting or just discarding data.
- 5. Small Business Creating big data • Slowly but steadily small businesses are collecting information about the user and derive meaningful, actionable analytics. • Start collecting data about your customers, users, partners. Over a period of time(few years), this data becomes really huge and you need a big data strategy sooner or later.
- 6. Guide to Big data • Collect • Store • Analyze
- 7. Collect • "The challenge on the flipside of that is the risk of unintended consequences.“ - Author(Ethics of Big Data) • Privacy of data is major factor of concern for collection of data.
- 8. Store • As data grows, agencies face increasing need to make the most of their storage options.
- 9. Analyze • Big data analytics is the process of examining large amounts of data of a variety of types (big data) to uncover hidden patterns, unknown correlations and other useful information.
- 10. • Such information can provide competitive advantages over rival organizations and result in business benefits, such as more effective marketing and increased revenue.
- 11. • Problem arises with unstructured data sources such as social media login which need to be fitted with traditional data warehouses. Which aren’t capable of handling the such sort of data. Huge Unstructured Data
- 12. Prominent Technologies • The technologies associated with big data analytics include NoSQL databases, Hadoop and MapReduce.
- 13. Problems • Lack of internal analytic skills • High cost of hiring experienced analytics professional • Integrating various software such as Hadoop with Data Warehouses
- 14. Who Are We? • Azuyo is the Premier destination for building Web, Mobile and Social media apps. • At Azuyo, we have developed various interesting web & mobile apps for our clients. • We have huge base of satisfied clients from different sectors of businesses.
- 15. Contact Us Please contact us for cutting edge Mobile, Web, Social Media and TV Apps. Azuyo Software Research & Development Pvt. Ltd. Survey No.56, 1st Floor, Sai Arcade, Devarabisanahalli, Outer Ring Road, Bangalore - 103. sales@azuyo.com +91 97403 80523 +91 80 4210 7637 facebook.com/pages/Azuyo/590520200958335 twitter.com/azuyoapps plus.google.com/u/0/s/azuyo linkedin.com/company/1036472 pinterest.com/azuyo/