Open versus Embedded analytics for Cloud Apps

Open versus Embedded Analytics for Cloud AppsWayne Eckerson, Principal Consultant, Eckerson Group

[email protected] | @weckerson

Sumit Sarkar, Chief Data Evangelist, Progress DataDirect

[email protected] | @SAsInSumit

mailto:[email protected]


© 2016 Progress Software Corporation and/or its subsidiaries or affiliates. All rights reserved.2

Audio Bridge Options & Question Submission

Open versus Embedded Analytics for Cloud AppsWayne Eckerson, Principal Consultant, Eckerson Group

[email protected] | @weckerson

Sumit Sarkar, Chief Data Evangelist, Progress DataDirect

[email protected] | @SAsInSumit




Agenda

What is embedded analytics for cloud hosted apps?

Market overview for popular external analytics and data management tools

What is open analytics for cloud hosted apps?

How to enable open analytics via standard SQL (ODBC/JDBC) and REST (OData)


What is embedded analytics for cloud hosted apps?

© Eckerson Group LLC

= Reporting = Analysis

Bus

ines

s Va

lue

High

2010s

Report

1980s

Analyze

Predict

Monitor

Ad hoc query, Excel, OLAP, visual analysis

Dashboards, scorecards

Data Mining, Data Science

Static & interactive reports

“What happened?”

“Why did it happen?”

“What’s happening?”

“What will happen?”

Low

1990s 2000s

All

user

sB

usin

ess

anal

ysts

Exe

cs, M

grs,

W

orke

rsS

tatis

ticia

ns/

Dat

a S

cien

tists

Tools

Use

rs

2020s

Evolution of BI/Analytics

Embed Reports

Prompt Action

Operationalize Models

Automate Action

Data Products


Bus

ines

s Va

lue

Analytical Maturity

Distribute Analytics Internally•Provide employees with interactive reports, dashboards and self-service analytical tools.

Embed Analytics into Apps• Embed charts,

tables, visualizations, maps, reports, dashboards, or self-service analytic tools into other applications.

Distribute Analytics Externally•Provide customers and suppliers with interactive reports, dashboards, and self-service analytical tools.

Enrich Apps w/ Advanced Analytics•Enrich applications with peer benchmarks, alerts, and personalized recommendations derived from analytical models applied to aggregated customer data.

Sell Data or Analytic Products•Sell analytics as an add-on to a subscription or service•Syndicate data via subscriptions•Sell analytical consulting services•Sell managed services for analytics.

Data MonetizationImproved Decision Making

Process Efficiencies - Cost SavingsGreater Customer SatisfactionPremium and Add-on Pricing


Why Embed a BI tool?

1. Can’t keep up with requests

2. Can’t keep up with complexity

3. Keep up with or beat the competition

4. Focus developers on the core

5. Offload support


Embedding Challenges

1.Costs

2.Customization

3. Integration

4.Functionality

5.Customer adoption


Evolution of Embedded Analytics


Success Factors

Know your strategy

Know your users

Map to analytics

Operationalize analytics

Pick the right product

Embedded Analytics


Market overview for popular external analytics and data management tools


Know Your Users

60% of employeesData Consumers Data Explorers

30% of employees

8% of employeesData Analysts

CASUAL USERS

POWER USERS

Data Scientists2% of employees

SILVER SERVICE

SELF SERVICE

Top

Dow

n B

IB

otto

m U

p B

I


Map Users to Functionality

ANALYTIC TOOLS Data Consumer

Data Explorer

Data Analyst

Data Scientist DATA TOOLS

Dashboards Snapshots

Ad hoc reports Data blending

Visual discovery Data prep/catalog

Data mining tools SQL, Pig, Python, etc.

Casual Users Power Users

“Silver Service” “Self Service”


Data Analytics Workflows

Data Set

Data Hub

InformaticaTalend

Ab initio

DATA INTEGRATION

Transform

Clean

Enrich

Extract

Model Transform

Blend

Enrich

Connect

ProfileAnalyze

Compare

Model

Search

Query

DATA PREPARATION

BI/ANALYTICS

Dat

a So

urce

s Decisions

Business UsersData AnalystsData Developers

PROTOTYPE

PROMOTE PROPOSE

PaxataTrifacta

Waterline

TableauQlik

IBM Cognos


What is open analytics for cloud hosted apps?


What is Open Analytics for Cloud Hosted Apps?

Analytics image referenced from http://dataconomy.com/2014/06/understanding-big-data-ecosystem/

Embedded Analytics(leverage data analytics within apps)

Open Analytics (leverage data analytics with external

apps by exposing standard SQL or REST)

http://dataconomy.com/2014/06/understanding-big-data-ecosystem/


Why Open Analytics for Cloud Hosted Apps?

Open Analytics Embedded AnalyticsPros Cons Pros Cons

Flexible Analytics Support third party tools Singe GUI Can’t use existing BI

Enterprise-wide Analytics

May require software distribution Tight Integration Can’t query other

data

Easy to migrate from on-premises solutions

Analytics not built-in Built-in Value Add One tool per app


We’re almost never solving for one problem with analytics

Reporting Analytics

SummarizedData

SegmentedData

DetailData

We can’t just aggregate / We can’t not aggregate

Dashboarding

Campaign Optimization

Customer Drill-down Attribution, CLTV,

Experience, Personalization

Targeting

Forecasting


Data Access standards for Open Analytics

ODBC Standard API for accessing databases

Standard API for accessing databases for Java

Industry standard Interoperable REST API

Standard Application layer query language

JDBC

OData

GraphQL

SQL

REST

Business Analytics and Data Management Tools and Platforms,

R, SAS, Python

Business Analytics and Data Management Tools and Platforms,

Hadoop, Spark, R, Java

Data Visualization and Cloud Analytics, Application

Development

Application Development

FILE Standard file format and common approachCSV Desktop Tools


How to enable open analytics via standard SQL (ODBC/JDBC) and REST (OData)


Data Preparation / Integration

Analytics Database

Embedded BI Server

Operational Database Open Analytics

via standard SQL and REST

2. Open Analytics democratizes your data for external Platforms, Clouds and Tools

1. Embedded Analytics delivered in your UI

Closer Look Behind a Cloud


Build vs Buy with Open Analytics?

Build Buy

Develop standard REST APIs for your Cloud Embed lightweight hybrid connectivity services for analytics and big databases

Develop and distribute SQL based clients Leverage OpenAccess SDK to rapidly develop standard connectors against your APIs

Enable VPN or SSH Tunneling capabilities for each customer Embed data integration platform

Export data sets to flat files or other databases Embed replication service


Build Option: Enable VPN or SSH Tunneling capabilities for each customer

1. Network Based VPN

2. SSH Tunneling

3. Reverse Proxy Servers


An open protocol to allow the creation and consumption of queryable and interoperable RESTful APIs in a simple and standard way.

OASIS Standard REST API (“SQL for the web”)

Ratified as an OASIS standard February, 2014Operations built on REST principlesUniform URL conventionsSurface metadata in standard way

Built Option 2: Develop standard REST APIs for your Cloud

First member to join OData Technical

Committee


Buy Option 1: Embed lightweight hybrid connectivity services for analytics and big databases


Buy Option 1: Commercial Hybrid Connectivity Services


Buy Option 2: Leverage OpenAccess SDK to rapidly develop standard connectors against your APIs

Which interfaces to support?


Which Standards to Choose in your Open Analytics Strategy?Source: Text Analytics on Progress CRM


By Industry: Popular Business Analytics ToolsSource: 2016 Data Connectivity Outlook Survey

Healthcare/Pharma Technology

TelecommunicationsFinancial Services

https://www.progress.com/campaigns/datadirect/whitepapers/whitepaper-2016-data-connectivity-outlook


Learn More

Embedded Analytics

Suggested Vendors

(Note: listing does not necessarily constitute endorsement by Progress)

Open Analytics

Learn more about Hybrid Connectivity for Cloud [Web]

Learn more about what we do for Open Analytics [Web]

Get started with OData REST API [Blog]

NetSuite Case Study [Read]

https://www.progress.com/data-connectivity/solutions-isvs/data-source-vendors

https://www.progress.com/blogs/getting-started-with-odata

https://www.progress.com/customers/netsuite

Open versus Embedded analytics for Cloud Apps

Technology

Transcript of Open versus Embedded analytics for Cloud Apps