BIG DATA ANALYTICS & IBM WATSON

BIG DATA ANALYTICS & IBM WATSON- Palak Pandoh- Mitul Desai

ContentsBig Data IntroductionImportance of Big DataInfo graphicsEmpowering Business OpportunitiesHello to IBM WatsonWorking of IBM WatsonIndustrial insightsWatson Achievements

What is Big Data?

Big DataBig data is an evolving term that describes any voluminous amount of

StructuredSemi structuredUnstructured data

that has potential to be mined for information.

ImportanceEnabling organizations to identify new measures and metrics that are better predictors of Business performance

Has amended the nuances for defining and quantifying terms, such as valuable, important and successful.

Access to massive and diverse data sets is changing the criteria the analysis is performed.

Contd.Impact or influence the business user experience and the user interface.

Giving users access to their data and hoping that they can slice and dice their way to insights.

Info Graphics

Empowering Business Opportunities

Say Hello !

How Watson works

Industrial Insights

SolutionsOpportunity rankingprediction of who will buy what and then target higher quality leads to increase the likelihood of successful sales.

Customer valueLisa can ask which customers are most profitable to her business and understand what makes them profitable.

Targeted marketingShe can analyze the information about the campaigns and use predictions to create highly effective marketing campaigns that lead to more conversions.

Sales

SolutionsWin/loss predictionanalyze win-loss data and use multiple factors to predict with confidence which deals have the highest chance of closing.

Customer retentionBridget can ask which customers are at risk of leaving and why.

IT

SolutionsHelpdesk activity analysishow long it takes to close a ticket and which tickets have higher resolution times.

Operations

SolutionsWarranty analysisanalyze the answers and use them and predictions to detect problems that might otherwise be ignored or missed.

Human Resource

SolutionsEmployee retentioncan ask which employees are at risk of leaving and why. She can intervene with the actions most likely to encourage them to stay.

Finance

SolutionsAccounts receivableJustin can ask which customers are least likely to pay, who is most likely to pay and why.

Customer attritionpredict the effect on revenue and determine which customer investments will lead to more profitable growth.

Sales pipeline and revenuecapabilities to determine which deals have the highest chance of closing and which are at risk. This kind of information can improve his revenue forecasts.

Achievements