Maximize Your Big Data Investment with Self-Service Analytics Presented by Michael Setticasi, Sr. Director, Business Development
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1 Maximize Your Big Data Investment with Self-Service Analytics Presented by Michael Setticasi, Sr. Director, Business Development
2 How many different data sources do you typically include in your analyses? What is the #1 obstacle to getting value out of those systems?
3 Let s look at the story of 3 companies who made the transition to self-service analytics, and the impact it has had.
4
5 How Many Data Sources do Organizations Use? Only 6% of organizations have all their data in one place 31% 40% 9% 13% 2-4 Sources 5-10 Sources Sources Over 15 Sources SOURCE: Lack of Data Blending Capability is Costing Time and Money survey of data analysts
6 Legacy Analytics: Multi-Step, Multi-Tool Approach IT Staff Data Scientists Line-of-Business Data Access Prep & Cleansing Data quality tool Data Blending Predictive & Spatial Analytics Production & Output Creation Data integration tool Analytic coding App creation Slow, long process Multiple tools and process steps Expensive software and labor 6
7 The Leading Platform for Self-Service Data Analytics Enrich Prep & Blend Analyze Share Input All Relevant Data Output All Popular Formats 7
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9 The Data Volume that Our Customers Process is ENORMOUS
10 Alteryx Benefits for Hadoop Implementations Give line of business analysts governed access to Hadoop clusters Prep and blend other data sources, and import that data into Hadoop Offer multiple delivery options: Put results into Hadoop Consume as reports Consume as analytic apps Output to visualization engines such as Tableau, Qlik, and Microsoft Future proof you investment: Alteryx will manage changing Hadoop standards so you can focus on analytics
11 Alteryx Enables Access to Hadoop in a Number of Ways 1. Retrieve information using a Hive connector 2. Read and write data directly to the Hadoop Distributed File System (HDFS) for unstructured or semi-structured information 3. Perform data blending in-hadoop through Impala, enabling data to stay in Hadoop and taking advantage of Hadoop processing power 4. Read and write information to Hadoop using Spark, and perform in-database blending 11
12 In-Database Tools: Maximum Convenience Alteryx offers a wide range of data cleansing, joining and shaping tools to create the analytic datasets needed for solving specific business challenges. This includes 12 in-database tools to make the most of Hadoop. Key in-database tools include: 12
13 In-Hadoop Data Blending from Alteryx With Alteryx, data analysts have the ability to prep and blend datasets in-hadoop via an easy-to-use, drag-anddrop user interface. No coding required. Create datasets for analysis while avoiding the hassle of moving massive amounts of data Use the full computing power of the Hadoop platform to manipulate data Achieve a broader context and quickly create an ideal dataset for analysis and business insights 13
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15 Organizations Are Stuck in Excel 8% of Workforce 25 Hours Per Worker Week Limited Functionality 80% of Data Input is Manual Copy / Paste Not Automated; Not Controlled 25 hours 80%
16 -$60B 5M Advanced Spreadsheet users in US x 8 hours / week on repetitive manual tasks Wastes $12,000 per user per year. 1.3B hours/year # 8
17 Blending External Data Alteryx can load data from sources outside Hadoop in preparation for in-hadoop blending of data Structured data from cloud sources such as Salesforce.com On-premise databases such as Oracle Desktop files such as spreadsheets This help data analysts: Gain even more context around key business challenges Access the most up-to-date information Take advantage of Hadoop processing power to perform data blending
18 Our Users are Modern Heroes in their Organizations Retail Restaurants Consumer Products Telecom/Cable Media Professional Services Energy & Utilities Healthcare Manufacturing Financial Services Travel & Hospitality Technology 18
19 Combine Unstructured and Semi-Structured Data One major benefit of Hadoop-based platforms is their ability to store highly structured, tabular data as well as unstructured or semi-structured data, such as: Clickstreams Server logs XML files Social media sources Machine sensor readings Alteryx makes it simple to join these varied data structures 19
20 Multinational with Multiple Use Cases Global retailer operating as a chain of hypermarkets, discount department stores, and grocery stores Relies on Hadoop with Alteryx for analysis of their operations Use Alteryx end-to-end: In-DB access, prep, blend, spatial, and predictive 20 Numerous and varied use cases: track their grocery goods supply chain identify breakpoints uncover employee truancy with time card data discover how salary increases affect profitability and employee morale
21 Giving Business Analysts Access to Hadoop Second largest CPG company in the world Billions of customer transactions to blend Applying analytical processes to predict inventory With Alteryx, they blend data in-hadoop (Cloudera using Impala) to get the right dataset Their business users love Alteryx for the drag and drop data blending and advanced analytics, and how fast it is 21
22 Predictive Analysis with Hadoop Generates Billions American online drugstore and pharmacy With Alteryx layered on Hadoop, analysts uncover insights and share findings via Tableau In-DB tools allow them to access specialty drug data to analyze sales and predict sales at end of day Alteryx is now instrumental in driving ~$7B (yes, billion!) in one section of their book of business thanks to the trending/predictive and analysis work analysts do now 22
23 Experience the Thrill of Solving Join the Alteryx Community community.alteryx.com alteryx.com/trial
24 user groups community.alteryx.com/usergroups Americas ATLANTA, GA AUSTIN, TX BOSTON, MA CHARLOTTE- GREENSBORO, NC CHARLESTON, SC CHICAGO, IL CINCINNATI, OH COLUMBUS, OH CONNECTICUT, CENTRAL MASS., RHODE ISLAND DALLAS-FT. WORTH, TX DENVER, CO FORT LAUDERDALE, FL FORT MYERS-NAPLES, FL GREATER MICHIGAN HARTFORD, CT INDIANAPOLIS, IN KANSAS CITY, MO LAS VEGAS, NV LOS ANGELES, CA MILWAUKEE, WI MONTREAL, QC NASHVILLE, TN NEWARK, NJ NEW YORK CITY, NY ORANGE COUNTY, CA ORLANDO, FL PHILADELPHIA, PA PHOENIX, AZ PORTLAND, ME PORTLAND, OR RALEIGH-DURHAM, NC RICHMOND, VA SAN FRANCISCO, CA SAN DIEGO, CA SANTIAGO, CL SÃO PAULO, BR SEATTLE, WA SPRINGFIELD, MA ST. LOUIS, MO TAMPA, FL TORONTO, ON TWIN CITIES, MN WASHINGTON, DC Europe, Middle East, Africa COPENHAGEN, DK DUBLIN, IRL ISTANBUL, TR LONDON, UK MUMBAI, IN NETHERLANDS PARIS, FR THE MIDLANDS, UK Asia-Pacific AUCKLAND, NZ MELBOURNE, AUS SINGAPORE SYDNEY, AUS
25 Thank you Michael Setticasi, Sr. Director, Business Development
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