Revolution in Business Analytics-Zika Virus Example
-
Upload
bardess-group -
Category
Data & Analytics
-
view
89 -
download
0
Transcript of Revolution in Business Analytics-Zika Virus Example
A Revolution in Business AnalyticsThe Zika Virus Example
October 2016
Data is growing…and it effects everyone
How Big Is Big?
What is Big Data?
4
What is Hadoop?
Apache Hadoop is an open source, Java-based programming framework that supports the processing and storage of extremely large data sets in a distributed computing environment. • Hadoop is an ecosystem of open source components that fundamentally changes the way
enterprises store, process, and analyze data.
• Unlike traditional systems, Hadoop enables multiple types of analytic workloads to run on the same data, at the same time, at massive scale on industry-standard hardware.
IBM BigInsights, AWS, MapR, Microsoft HDInsight, Intel, Datastax, Teradata, Pivotal HD
Hortonworks Data Platform (HDP) is a secure, enterprise-ready open source Apache™ Hadoop® distribution based on a centralized architecture (YARN). HDP addresses the complete needs of data-at-rest, powers real-time customer applications and delivers robust analytics that accelerate decision making and innovation.
Cloudera provides Apache Hadoop-based software, support and services, and training to business customers for enterprise-class deployments . It is the most popular distribution of Hadoop and related projects in the world
Others
Market Growth … does it match your budget?
The global Hadoop market, which spans hardware, software, and services, is expected to grow to $85B by 2021 (CAGR of 63% from 2016)
-Allied Market Research
Prediction of Adoption
“Forrester estimates that 100% of all large enterpriseswill adopt it (Hadoop and related technologies such as Spark) for big data analytics within the next two years.”
--The Forrester WaveTM, Big Data Hadoop Distributions, Q1 2016
100% of all large enterprises will adopt Hadoop and related technologies such as Spark
Why does Forester predict that there will be 100% adoption
• With Hadoop the storage volume problem is solved
• We are nearing the peak in the life cycle—it is no longer a emerging technology
Source: Hortonworks June 2015
What can be done with all the data?
Operational Efficiency
New Business Value
OPERA
TIONS
DATAM
ANAGEM
ENT
UNIFIEDSERVICES
PROCESS,ANALYZE,SERVE
STORE
INTEGRATE
Store and process unlimited data fast and
cost-effectively.
Data Integration
Explore, analyze, and understand all your data.
Data Discovery and
Analytics
Build data-driven productsto deliver real-time
insights.
Real-Time Data
Applications
The real issue is not about acquiring large amounts of data, It's about what is done with the data.
Big Data Implementation Examples Combining Big Data with Analytics:
By combining Big Data and high-powered analytics, it is possible to:
• Determine root causes of failures, issues and defects in near-real time, potentially saving billions of dollars annually.
• Optimize routes for many thousands of package delivery vehicles while they are on the road.
• Analyze millions of SKUs to determine prices that maximize profit and clear inventory.
• Generate retail coupons at the point of sale based on the customer's current and past purchases.
• Send tailored recommendations to mobile devices while customers are in the right area to take advantage of offers.
• Recalculate entire risk portfolios in minutes.
• Quickly identify customers who matter the most.
• Use clickstream analysis and data mining to detect fraudulent behavior.10
How do we do it?
• What are the technologies?
• How do we combine them to form a Modern Data Architecture?
• How do we leverage the technologies in place to combine Big Data with High Powered Analytics?
• Let’s start by examining the Analytics Value Chain
The Analytics Value Chain
It’s what we do.
Apply, Artificial Intelligence (AI), Machine Learning (ML), predictive, prescriptive and geospatial analytics to further leverage your data assets.
Identify patterns, relationships and outliers in vast amounts of data in visually compelling ways.
Democratize your data further by empowering business users to prep their data for analysis. Enable DaaS with governance.
Modernize your architecture to take advantage of a schema-less data-lake approach that rapidly adjusts to changing business requirements.
The Bardess Analytics Value Chain is a
systematic approach to conceptually
visualize the strategic journey to insightful
business analytics
Enterprise-ReadySolutions
BU
SIN
ESS
VA
LUE
Enterprise-Ready Solutions
Database & Storage
Modernizing the data architecture to take advantage of a schema-less data-lake approach that rapidly adjusts to changing business requirements providing scalability, security and governance.
BU
SIN
ESS
VA
LUE
Data Preparation
Enterprise-Ready Solutions
Enable DaaS with governance.
• Data Preparation• Data Wrangling• Data Quality Improvement• Data Enrichment
Democratize data further by empowering business users inn:
BU
SIN
ESS
VA
LUE
Solution Provider of the year 2016
Visual Analytics
Enterprise-Ready Solutions
Identifying patterns, relationships and outliers in vast amounts of data in visually compelling ways.
User-driven Analysis
BU
SIN
ESS
VA
LUE
Advanced Analytics
Enterprise-Ready Solutions
Further leveraging data assets by applying advanced• Machine Learning• Predictive Analytics• Prescriptive Analytics• Artificial Intelligence
The Zika Virus Example
This Zika analysis is an example of the Value Chain in action…
• A modern data architecture that provides agility to adjust to changing business requirements, and a repository for really disparate data.
Enterprise-ReadySolutions
• Security and governance.
• A compelling story about Zika and what's been done about it, presented in Qlik Sense.
• A foundation for future analytics including Machine Learning and predictive analytics.
What is Zika?
The Spread of Zika
How is Zika Spreading?
Getting the Message Out
The Zika Virus Demo
Zika Virus Demo
See the whole storythat lives within your data
Visualization alone is insufficient
A modern analytics platform like Qlik provides the vehicle to solve a multitude of business analytics challenges.
Founded in Lund,
Sweden in 1993
Headquartered in
Radnor, PA, USA
39,000 customers and
1,700 partners in more
than 100 countries
10 years’ growth
outpacing market
More than
2,500
employees
39,000
1,700
100
What Qlik®
delivers
26
Gartner Recognizes Qlik® as a Leader in Magic Quadrant for BI & Analytics Platforms
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Qlik. Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. All rights reserved.
Source: Gartner, Magic Quadrant for Business Intelligence and Analytics Platforms, Josh Parenteau et al, February 4, 2016. The Gartner document is available upon request from Qlik.
27
The Qlik Portfolio
Associative Engine Technology, APIs, Toolkit…
AnalyticsGuided, embedded, self-
service, collaborative
DataAccess, smart load,
governed data, big data
CloudCreate & share, managed cloud, value
added services, ecosystem
Cap
abili
ties
Pro
du
cts
Pla
tfo
rm
28
• Self-service visualization and discovery• Associative model
• Smart visualizations
• User-driven, drag-and-drop creation
• Sharing of knowledge and insights• Centralized sharing and collaboration
• Data storytelling and reporting
• Anywhere, anytime mobility
• A platform for the entire enterprise• Embedded analytics, custom apps and
extensions
• Robust data integration
• Enterprise-class governance
With Qlik’s patented Associative Data Indexing technology at its core, Qlik Sense delivers:
Qlik® Sense
29
• Most Big Data Users are not Data Scientists
─ Business users want simple, guided access
• Helping the user find relevant and contextual information
─ Instead of having to search through everything
• Ensuring the solution can accommodate today and tomorrow
─ Big Data landscape continues to rapidly evolve
• Able to use different methods for different data volumes and
complexities
─ “One method does not fit all”
Challenge - Providing Big Data to everyone
“A car may produce an exabyte of data a year (a billion gigabytes), but most is
completely meaningless. Isolating the megabyte of data a month that’s really
valuable, and then figuring out what you can do with it, that’s the challenge of Big
Data.”Scott McCormick, president of the Connected Vehicle Trade Association and industry adviser to the U.S. Secretary of Transportation, September 2013
30
The Qlik platform – for all usersMost Big Data Users are not Data Scientists
Deep drilling
Mostly drilling, some exploration
Mostly exploration,
some drilling
Data Experts
Data Scientists
Breadth of Coverage
De
pth
of
Co
ve
rag
e
Data Explorers
Descriptive, diagnostic and predictive analytics(“What happened?”, “Why did it happen?” and “What is likely to happen?”
31
Qlik & Cloudera
Benefits For Customers
.
Fast
For Business
Easy
To Manage
Secure
Without Compromise
Make Big Data
Accessible
Deliver Big Data
In Context
Keep Big Data
Relevant
Faster and Higher Big Data
ROI
32
Qlik within a Big Data Architecture
Analyze
Refinement
Initial Processing
Gather
HADOOPDATA SOURCES
ACCELERATORS
QIX Associative Engine
Unstructure
d data
Structured
data
NON-HADOOP
Standards-based or application-specific connector