© 2019 forrester. reproduction prohibited....able to handle fortune 100 complexity the right...

© 2019 FORRESTER. REPRODUCTION PROHIBITED.

The Total Economic Impact Of Io-Tahoe WebinarMichele Goetz, Principal Analyst

May 2nd 2019

Amy Harrison, Sr. TEI Consultant

3© 2019 FORRESTER. REPRODUCTION PROHIBITED.

IntroductionMarket overview


Why Data Catalogs?

› The mounting pressure of data on your business

› Meeting expectations

› The delivery gap

› How data catalogs enable data value and results


Big Data Vs Are No Longer A Cliché


Volume and Variety triples in one year


Velocity is shaping investment to keep up with insight

What are your firm's plans to use the following analytics technologies?

Organizations seek real-time insights

Streaming analytics (CEP complex event processing, real-time analytics)73%

Base: 1742 global data and analytics decision makers at enterprises that are interested in, planning to, implementing, or expanding their use of streaming analytics.Forrester Analytics Business Technographics Data and Analytics Survey, 2018


Solution? Create a Data Lake

Average Number of Data Lakes in an Organization

8


Data Lakes Promise a Personalized Data Experience

Understand data in context of insight and decisions


Data stakeholders still struggle


1/3 Data Lakes taken off of life support


Data catalogs step in to govern, steward and make sense of the data

Source: 2018 BT Survey Data & Analytics

29%

24%

24%

24%

23%

23%

22%

21%

20%

20%

Public cloud big data servcies

Security analytics for threat detection/hunting

Data cataloging

Specialized IoT analytics platforms and solutions

Streaming analytics/computing

Public cloud data warehouse automation

Large scale predictive modeling, data modeling, other…

Distributed in-memory databases, grids, analytics tools

Data lake accelerators

Machine learniing managed services

Which of the following are included in your plans for big data? (Top 10, multiple choice)


Data Catalogs…

Bring understanding of the data with discovery and profiling

Capture definitions, standards and policies that personalize and activate data

Enable collaboration and sharing of data and insight throughout the organization


Agenda

› Introduction

› What is TEI?

› Executive summary

› Analysis

› Financial summary

Please note:This slide presentation is an abridged, graphical, and complementary representation of a case study.

For a full explanation of methodology and details on model calculations, please refer to the full case study (The Total Economic Impact of Io-Tahoe, April 2019)


What is TEI?Background and methodology


Source: The Total Economic Impact Of Io-Tahoe, April 2019

“Next-level” business case justifications are increasingly important for technology investments

Very important,

60%

Somewhat important,

33%

Somewhat unimportant, 4% Not at all important, 3%

Over 90% of IT decision-makers find value in a business case

TCO ROI TEI

IT impactIT costs

IT cost savings

Business impact

User efficiency

Business effectiveness

Risk/ uncertainty

Risk mitigation

Risk versus reward

Strategicimpact

Scalability

Flexibility

What is an effective business case?

Base: 825 IT decision-makers at North American enterprises

Risks



Forrester took a multistep approach to evaluate the impact of Io-Tahoe

Start

Due diligence

Customer interview

Createfinancial model

Write case study

Review and finalize



DisclosuresThe audience should be aware of the following:› This document is an abridged webinar version of a full case study (Forrester Total Economic Impact of Io-

Tahoe, April, 2019).

› The study is commissioned by Io-Tahoe and delivered by the Forrester Consulting group.

› Forrester makes no assumptions as to the potential return on investment that other organizations will receive. Forrester strongly advises that readers should use their own estimates within the framework provided in the report to determine the appropriateness of an investment in Io-Tahoe.

› Io-Tahoe reviewed and provided feedback to Forrester, but Forrester maintains editorial control over the study and its findings and does not accept changes to the study that contradict Forrester’s findings or obscure the meaning of the study.

› The customer names for the interviews were provided by Io-Tahoe.

› Forrester does not endorse Io-Tahoe.


Executive summaryHigh-level findings



Before Io-Tahoe, the interviewed company lost the relationship context when they created the data lake. In addition, they previously focused on historical analysis.

With Io-Tahoe, the organization was able to realize the investments made in the data lake by enabling reporting to perform critical business functions.



Interviewees shared the following key results from the Io-Tahoe investment

“We built a core foundation layer in our data platform to drive a very sustainable change in our business. However, it was not without its challenges. We told leadership not to expect any outcomes for 12 months. Everyone believes in big data but very few see its value.”

Chief data officer, Global Manufacturer



Forrester has determined the following three-year impact

Based on an analysis of the Io-Tahoe platform customer feedback and quantified benefit, cost, risk, and flexibility factors.

ROI PV NPV523% $17 million $14 million


AnalysisCustomer journey and key results



Forrester interviewed one Io-Tahoe customer

MANUFACTURER

OVER 100B IN REVENUE

2 FULL YEARS USING PRODUCT

DEPLOYED A DATA LAKE



KEY DRIVERS

Lost context

Headlights, not taillights

Compliance

The customer shared experiences before and after using the Io-Tahoe platform

SOLUTION REQUIREMENTS

Able to handle Fortune 100 complexity

The right foundational technology

A willing partner

KEY RESULTS

Able to control future business outcomes

Delivered on the promise of big data

The Customer Journey



Interviewees shared the following key results from the Io-Tahoe investment

“Working with Io-Tahoe is part of a broader ecosystem and data strategy to uncap value. It’s been a fantastic partnership with them.”

VP of data and analytics, Global Manufacturer

“Data scientists spend 50% to 60% of their time learningabout the data, and only 20% building algorithms. You arepaying for storage compute for everything, for no value.”

Chief data officer, Global Manufacturer



$12.9M

$3.5M

$628.2K

Financial planning &analysis professionalsperforming standard

reporting and analysisduties

Data architects buildingdata relationships

Reduction in reconciliationcosts

The customerquantified key benefits from the Io-Tahoe investment

Three-year total PV benefit breakdown



FP&A Professionals Productivity Gains

BENEFIT 1 - $12.9 million over three years• Before using the Io-Tahoe platform, when performing standard reporting,

FP&A professionals had to log into multiple systems to find and analyze the data. They were spending 90% of their time chasing the data and only 10% conducting analysis.

• After using the reporting enabled by Io-Tahoe the finance professionals were able to log into a single system to pull all their required data.

• The interviewed company reported that its 8,000 FP&A professionals experienced a time savings of 20% to 30%.

Finance Professionals

Annual compensation Total time saved

Percent attributed to

Io-Tahoe

Productivity reclaimed

Risk adjustment

8,000 users $81,000 20% 10% 50% ▼20%



Data Architects Building Data Relationships

BENEFIT 2 - $3.5 million over three years• After the organization created the data lake, the relationships and linkages

between the financial transactions were non-existent.

• Instead of using expensive data architect resources to manually recreate the transaction lifecycle, they used Io-Tahoe’s capabilities to automate this process.

• The organization was able to create a center of excellence team of only three down from 15.

Data architects before Io-Tahoe

Data architects after Io-Tahoe

Annual compensation

Salaries required to build

relationships

Risk adjustment

15 3 $130,000 $1.5 per year ▼20%



Reduction In Reconciliation Costs

BENEFIT 3 - $628.2K over three years• The interviewed organization reported that this group performs more than

440,000 reconciliations per year at the cost of $52.50 per transaction.

• Of the 440,000 transactions, 45% were exempted due to policy changes.• The organization was able to digitize 27% of the transaction reconciliations

enabled by Io-Tahoe.

Reconciliations annually

Exempted due to policy change

Percent digitized by Io-Tahoe

Cost per reconciliation

Percent attributed to

Io-Tahoe

Risk adjustment

440,000 45% 27% $52.20 10% ▼10%



Data warehouse operational

savings

Improved visibility and

analytics

Improved accountability

in supplier discount

terms

Additionally, there are benefits to using Io-Tahoe that weren’t quantified in the study

Reduced time for data scientists to

prepare data



Software and Implementation Costs, $730,634

Ongoing Management

and Infrastructure

Costs, $1,999,429

three-year total costs PV

$2.7 million

Customers incurred 2 categories ofcost to deploy and use the Io-Tahoe platform

• Software and Implementation costs:• 1 time implementation charge $46,500 (risk adjusted)

• License costs: $275,000 per year (risk adjusted)

• Ongoing management and infrastructure costs:• 3 data engineers: $470,000 per year• Cost of AWS nodes: $200,000 per year



TEI analyses also includes flexibility and risk factors

FLEXIBILITY

Io-Tahoe provides an organization withthe ability to engage in future initiatives for additional benefit

• Expanded use cases• Reduced spend on auditors• Fewer business disruptions• Compliance

IMPACT RISK

Business/technology needs may not be met by investment in Io-Tahoe resulting in lower benefits

• Number of use cases considered• Number of users • Regulatory requirements• Administrative costs in different

regions


Financial summaryThree-year model



Three-year model summary results

ROI523%

NPV$14 million

-$5.0 M

$5.0 M

$10.0 M

$15.0 M

$20.0 M

Initial Year 1 Year 2 Year 3

Cashflows

Total costs

Total benefits

Cumulative net benefits

FORRESTER.COM

Thank you© 2019 FORRESTER. REPRODUCTION PROHIBITED.

Michele Goetz+1 [email protected]

Amy Harrison+1 [email protected]

Oksana Sokolovsky, CEO & Co-Founder

Rohit Mahajan, CTPO & Co-Founder

Io-TahoeSmart Data Discovery and Catalog

For external use

About Io-Tahoe • Enterprise smart data discovery and AI-driven catalog product that

• enables next generation data management practices• improves data governance and regulatory compliance• bridges business and technology

• Powered by AI, Io-Tahoe’s smart data discovery goes beyond traditional metadata and leverages ML and AI to look at the data itself

• automatically discovers critical, implied and often unknown relationships across an inherently heterogeneous and complex enterprise landscape

• enables the organization to understand data lineage

• Custom-built by veteran FinTech professionals with a deep understanding of data challenges

• Particularly valuable to businesses with large numbers of customers and diverse data sets

• Global locations: Bangalore, Kiev, London, and headquarters in New York

Named a 2017 Cool Vendor in Data Management by Gartner

2018 Forbes New York Business Council Official Member

2018 Forbes Technology Council Official Member

Top 20 Enterprise Information Management Solution Providers

38

For external use

Data Redundancy

Relationship Discovery

Data Flow

Sensitive Data Discovery Data

Catalog

Impact Analysis

Using a single product organizations can:• Discover how data flows through the

heterogenous enterprise

• Identify and classify sensitive information to support data privacy regulations and compliance

• Enable data owners and data stewards to create, maintain and search business rules and related data elements using AI

• Achieve effective data governance processes of the landscape over time

39

Discover, understand and catalog your data

For external use 40

AI & MLSeven patents

pending

Self ServiceFor Technical &

Non-Technical Users

Looks at the data itself, does not rely on metadata only

Technology Agnostic

Smarter crowd sourcing,

powered by AI & ML

Io-Tahoe differentiation

• AI and ML algorithms driving Relationship Discovery, Data Flow and Catalog

• Pattern-Matching algorithms that look at content and context of data

• Discovery and Data Catalog solution that looks at data across lake and non-lake environments

• Brute forces and interrogates the data, down to the field value

• Can’t rely on metadata, only data can tell you the absolute truth -100%

• Relationship Discovery powers all other modules

• Brings it all ‘home’ for the business user in our Data Catalog

• Only software platform that goes across 30+ Relational DBs and HDFS (Lake) and NoSQL engines

• Discovery and Flow capabilities across RDBMS and HDFS/NoSQL

• Can work on semi-structured-CSV, JSON, and XML

• AI and ML drives data governance across the organization

• Auto-discovered tags and auto-data classification drive the Data Catalog

• Takes the manual effort out of data governance

Thank youAny questions?

41

For more information:

W: www.io-tahoe.com

E: [email protected]

http://www.io-tahoe.com/

mailto:[email protected]

This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove it from your system, and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the contents of this file is not permitted and may be unlawful. Io-Tahoe LLC, 111 Broadway, Suite 601, New York, NY 10006. www.io-tahoe.com

Io-Tahoe® is a registered trade mark of Centrica plc. © Io-Tahoe LLC 2019

http://www.io-tahoe.com/

© 2019 forrester. reproduction prohibited....able to handle fortune 100 complexity the right...

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