IT + Line of Business - Driving Faster, Deeper Insights Together

IT + Line of Business: Driving Deeper Insights, Faster TogetherMARCH 28, 2017

© 2016 Alteryx, Inc. | Confidential

Our Presenters

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DAVID POTESManager,

Solutions Architecture

RAMAN KALERManger, Alliance Marketing

TIM CHANDLERPrincipal Business Analyst

TODD TALKINGTONSr. Manager,

Technology Partner

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OVERVIEW

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The Leading Platform for Self-Service Data Analytics

Prep, blend, and analyze all your data using a repeatable workflow

Deliver deeper insights in hours, not weeks

Deploy and share analytics at scale

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Share

Enrich

Prep & Blend Analyze

Input All Relevant Data

The Leading Platform for Self-Service Analytics

Output All Popular Formats

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OVERVIEW


Fast, simple, petabyte-scale data warehousing for less than $1,000/TB/Year

Amazon Redshift


Relational data warehouse

Massively parallel; Petabyte scale

Fully managed

HDD and SSD Platforms

$1,000/TB/Year; starts at $0.25/hour

Amazon Redshift

a lot fastera lot simplera lot cheaper

What is Amazon Redshift?


The legacy view of data warehousing ...

• Global 2,000 companies

• Sell to central IT

• Multi-year commitment

• Multi-year deployments

• Multi-million dollar deals


… Leads to dark data

• This is a narrow view

• Small companies also have big data

• (mobile, social, gaming, adtech, IoT)

• Long cycles, high costs, administrative complexity all stifle innovation

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200

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600

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Enterprise Data Data in Warehouse

The Amazon Redshift view of data warehousing

• 10x cheaper

• Easy to provision

• Higher DBA productivity

• 10x faster

• No programming

• Easily leverage BI tools, Hadoop, Machine Learning, Streaming

• Analysis in-line with process flows

• Pay as you go, grow as you need

• Managed availability & DR

Enterprise Big Data SaaS


Selected Amazon Redshift customers


Amazon Redshift has a large ecosystem

Data Integration Systems IntegratorsBusiness Intelligence


Amazon Redshift architecture

• Leader NodeSimple SQL end pointStores metadataOptimizes query planCoordinates query execution

• Compute NodesLocal columnar storageParallel/distributed execution of all queries, loads, backups, restores, resizes

• Start at just $0.25/hour, grow to 2 PB (compressed)DC1: SSD; scale from 160 GB to 326 TB

DS2: HDD; scale from 2 TB to 2 PB

Ingestion/BackupBackupRestore

JDBC/ODBC

10 GigE(HPC)

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OVERVIEW

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CLIENT STORY

About Tim

• 20 years of BI/Data Experience at HP, Sun, Cisco, and small startups in Silicon Valley and Asia.

• Principal Data/Dashboard Architect, Marketo• Designed created and implemented Marketo’s Data Pipeline (Mavericks) and deployed

Tableau Company wide.

Tim Chandler 2017 Data Architecture for BI/Analytics Pilots

The Challenge

The Challenge

The Challenge

Data Warehouse


Salesforce.com

Intacct

Marketo’s Box Sync

Clarizen

Coupa

Workday

OandaAWS – RedshiftAWS EC2 Dashboards

Alteryx/ETL Server Tableau Server

Cloud Sources (RW)

128 SSL Encryption

Read Only Data Path

Read-Write Data Path

Marketo

Cloud Sources (R)

“Over 80 workflows are running right now updating Marketo’s Data Pipeline (Mavericks)”

Jive

Mavericks – Physical Data Architecture

Xactly

Port Lock Down – Need to Know Access

AWS – S3

ApplicationIntegration

Smartsheets

Example: Opportunity Workflow

Data Challenges

1. Connect to the data Alteryx’s Download Tool is your ticket to REST API

access

Establish proven data flows

Security. Both access and storage.

Data Challenges

2. Understanding Business Objectives Move the conversation from “Excel” to “Business

Insight”

Define a process of engagement and set expectations

Set a clear objective of ratifying data, then creating charts

Data Challenges

3. Translating Business Objective to Data Models Determine better data models based

on existing dashboard challenges Automate the blending of peoples

Excel data Provide all data using Tableau Extracts

Tableau Data Stewards / Publishers

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And more…Tim Chandler 2017 Data Architecture for BI/Analytics Pilots

DataModels

Dashboard Challenges

1. Identify Organizational Business Owners Data Stewards

Painful Excel efforts

Data Champions


2. Training Make it relevant, use their data

Focus on Chart Exploration and Discovery

Avoid: Data Blending, LOD, Advanced Charts


3. Company Wide Ratification Common Calculated Fields

Common Standard Fields

The same descriptive categories.

Dashboard Adoption Process

BusinessRequirements

ProvisionedData

DataValidated

Dashboards(beta)

Production

Can you deliver the data fast enough and do initial dashboards before the excitement

dissipates?


Usage continues to grow


MavericksLaunched

Sales Operations


Finance


Partners


Legal


Feedback

...I’ve worked closely with Tim over the last few months in mapping SFDC partner data to Tableau and in developing a set of visualization dashboards for the Business Development team. Tim’s help and support were invaluable in getting us up and running. His knowledge of Tableau, Alteryx and SFDC is amazing! I’ve had limited time to focus on Tableau, so I really appreciated Tim’s responsiveness. Whenever I had a question or whenever an issue arose, he always responded within the same business day if not immediately. It was a pleasure working with Tim!

Some of the immediate benefits of implementing Tableau for the BizDev team include:

1. I’m saving hours of time (25+ per month) by not having to create charts manually in Excel.

2. Tableau is much more flexible than SFDC in that I can merge various datasets which I previously had to merge in Access or Excel. This saves me lots of time and ensures better data accuracy.

3. Our visualizations have popped out interesting insights like

4. The vast majority of deals in EMEA have partners attached, dramatically different than the USA

5. Partner rankings at a glance by using packed bubble and tree map charts

6. Partner contribution to overall revenue by using area charts

Tableau allows me to present data in a clearer and more digestible way than SFDC. Our team will have a better understanding of our business and will be more engaged.

Tableau will be an important tool in helping us shape partner strategy...


Summary:Driving faster Tableau deployments

• Enablement not development• Promote self service with the business• Own infrastructure, governance & security


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QUESTIONS?

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