Speeding up BI on top of Big Data in enterprises

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Presentation transcript:

Speeding up BI on top of Big Data in enterprises Notebook as BI tool? Speeding up BI on top of Big Data in enterprises Csenger Szabo

who am i spent some years in multiple fields in IT then got a passion for big data enterprise big data projects (Magyar Telekom) and helping big data strategy at Nextent education, continous learning blog: predie.com

The beginning of BI 28th Foot at Quatre Bras, 16 June 1815, by E. Thompson (1846 – 1933)

BI „a set of techniques and tools for the acquisition and transformation of raw data into meaningful and useful information for business analysis purposes”

Bain & Company: http://www. bain

Big Data

6.1 average number of days it takes to get reports built with traditional BI tools among best-in-class performance companies Aberdeen Group: http://tdwi.org/articles/2009/05/20/study-highlights-how-to-lower-bi-costs-complete-projects-ontime-and-onbudget-with-less-staff.aspx

60% percentage of business and technology decision-makers who report time concerns with creating/updating dashboards Forrester: http://go.thoughtspot.com/forrester-white-paper-0315.html

Notebooks Best friends of data scientists Multiple data sources & interfaces All the aspects of a data projects with one tool Sharing and presentation

Traditional BI tool Notebook Interact with data SQL programmatically & SQL Data cleansing limited ✓ Visualization easy and great satisfying Data quality it needs prepared data can eat anything Statistical analysis full access to several librarys Skillset and tools multiple tool needed for the whole process same skillset but less tool (one) Sharability easy and can be customized in its infancy

SAS, Sara Venturina – Predictive Analytics

Conclusions Time is money - how fast you can make good decisions More tools – more people needed Triumph of open-source, web-based apps and cloud Business is changing – we have to keep up