Big data
- 2. Introduction: • Big data is a concept to drive huge amount of data growth for bussiness. • Big data it is also describe heigh volume of data,velocity ,and variety Need to new procedure and technologies to catch information ,store data,analyzingdata,sharing,searching,updating,visualisation and source. • Big data is faster to communicate with distrubuted database. .
- 3. Characteristics of Big data:
- 4. Big data sources: •Media : Social media platformsp like facebook,twitter,youtube,linkedin etc. • images,videos,podcast,audio. •Cloud : Public,private or third party cloud platforms. •Website :data publicity available on website like amazon,flipcartetc. •Bank:maximum transection is online mode so data will be generated and stored on server and this data is contributed to big data. •Instruments:RFID(ratio frequency identification) reader,security camera,are the constantly generate data this are also contributed to Big data. •Stock Market: To generate data on terabytes.
- 5. Applecation of big data: Retailer and consumer. •Event and behaviour base targeting. •Supply chain magmt and analytics. •Compaign mgmt customer loyality programs. Telecommunication: •Call Detail Record(CDR) analysis. •Customer churn prevention. •Mobile and devices user location analysis. Ecommerce &customer services: •Recommandation engine using predictive analytics. •Event analytics. •Right offer at right time. •Next offeror next best action. •Web and digital media: •Targeting audience,analysis ,forecasting and optimisation. •Compaign management and loyality programs.
- 6. Finances and fraud services: •Risk management and analysis. •Fraud detection and security analytics. •Credit,debit,coupans risk analysis.
- 7. Big data challenges: •Dealing with data growth. ... •Generating insights in a timely manner. ... •Recruiting and retaining big data talent. ... •Integrating disparate data sources. ... •Validating data. ... •Securing big data. ... •Organizational resistance.
- 8. Advantages of big data:
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