Презентации по Аналитике

2015 Top Trends in BI
2015 Top Trends in BI

BI at an Inflection Point BI Industry Changes Socioeconomic / Tech Trends Shrinking of Traditional Vendors Rise of Data Discovery Industry Consolidation Big Data IPOs Social, Mobile, Analytics & Cloud Convergence Rise of SMBs The Digital Generation

DEMOCRATISING DATA BY IGNITING A CROWD POWERED MOVEMENT
DEMOCRATISING DATA BY IGNITING A CROWD POWERED MOVEMENT

DATA IS AT ITS BEST WHEN IT CONNECTS, SIMPLIFIES AND EMPOWERS OUR LIVES

7
7

1 Problem # How many cells contain numbers? Count Numbers 1 Function # Only counts numbers Text and blank cells are ignored NOTE: Dates are numbers, so they would be counted too COUNT

ANALYTICS & BIG DATA
ANALYTICS & BIG DATA

Data opportunity Successful companies understand and have implemented an effective data management strategy, and as result have gained competitive advantage over their competitors. Without improvements in quality and completeness of data captured at source, changing processes and systems will

The art of data science
The art of data science

Or, A Less Pretentious Title Josh Wills | Senior Director of Data Science The Art of Data Science The Data Science State of the Union

Are Your Reports Pretty Little Liars?
Are Your Reports Pretty Little Liars?

DR DATA just call me relying on nebulous “USER” data

Choose the Right Tools for Big Data Development Leverage Hadoop as your pilot project to gain organization buy-in and build institutional learning. This research is designed for data scientists, app development managers, and developers who: Need to analyz
Choose the Right Tools for Big Data Development
Leverage Hadoop as your pilot project to gain organization buy-in and build institutional learning.
This research is designed for data scientists, app development managers, and developers who:
Need to analyz

Step 1 Assess Your Fit and Readiness for Big Data Your fit for big data will hinge on your current data flow and whether your data stack can accommodate new entities while remaining intact. Step 2 Build Your Project

Thinking Big
Thinking Big

About Me Shawn Hermans Data Engineer/Scientist Technology consultant Physics, math, data geek About this Talk Non-technical introduction to Big Data Not focused on any technology or platform Focus on concepts

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