How Cloud BI Powers Today's Agile Enterprise

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According to Forrester (http://www.forrester.com/Benchmark+Your+BI+Environment/fulltext/-/E-RES103661), ⅓ of organizations reap a triple-digit ROI on their BI investments. The problem for the other ⅔ is that the complexities of the BI landscape are prohibiting them from delivering the insights that their business users need, in a relevant and timely manner. Our guest Boris Evelson, a leading expert in BI at Forrester Research, joins GoodData to discuss how Cloud BI can improve the agility of your organization. In this 1-hour session they discuss: - Current state of the BI landscape - Complexities forcing change in the industry - How Cloud BI alleviates many of those challenges - Specific ROI stories and use cases

Business Technology

1GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
How Cloud BI Powers
Today’s Agile Enterprise
Boris Evelson
Vice President, Principal Analyst, Forrester
Jeff Morris
VP Marketing, GoodData

2GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.

3GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
Data Visualization
Tableau, Qlikview, Spotfire, etc.
Analytics Engine
Cognos, Oracle, Business Objects, etc.
Data Marts
MySQL, PostgreSQL, etc.
Data Warehouse
Oracle, Teradata, Netezza, Microsoft, etc.
ETL
Informatica, DataStage, Boomi, Snaplogic,,
etc.
Infrastructure
Servers, Storage, Networking, etc.
Traditional BI
Data Collaboration
Data Visualization
Analytics Engine
Data Marts
Data Warehouse
ELT / ETL
Infrastructure
End to End, Analytics
Platform as a Service

4GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
The Case For the Cloud
Time to Value
Invisible Ops
Single Code Base
Instant Provisioning
Innovation
Security Constantly Updated
Cloud BI
API driven
Traditional BI: Fixed, silo-ed, resource intensive
Single source of truth, for everyone

5GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
5GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
COMPLETE OWNERSHIP
OF YOUR PROBLEMS

6GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
GoodData Analytics Platform as a Service

7GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
Styling the Cloud
▶  Customer Obsession. Combine 6 cloud
data sources to identify top customers
▶  Speed to value. Dashboards live in 30
days
▶  Innovation: Zero additional resources to
deploy and manage GoodData
▶  Cyber Monday: They were off track to
meet their target. With GoodData, they
were able to identify the bottleneck
and pivot their strategy immediately.
"You shouldn't
have to be a
database
administrator to
sell a great pair of
pants.”
David Glueck,
Sr. Director of Data
Science and
Engineering

8GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
Data Driven From
Day One
▶  Speed: Up and running within 4
days, with more than 6 data sources
▶  Innovation: Dramatically reduced
operating hours
▶  Customer Obsession: The maturity,
scalability and usability of the
platform were unmatched by Domo
▶  Uses GoodData to evaluate
strategy and pivot in real time.
“GoodData
delivered in 4
days what other
vendors promised
to do in months.”
Tony Wilder,
VP Operations

9GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
Delight Delivered,
Zen-fully
▸  Speed: 90 days to see live, seamlessly
integrated dashboards
▸  Excellence: Used by 80% of their Plus
and Enterprise customers everyday
▸  Scale: 50,000 ETL syncs per day
▸  Advanced Analytics promote
upgrades and decrease probability
to churn
“Advanced
Analytics is the
number one
reason our
customers
upgrade.”
Sam Boonin, Vice
President of
Products

10GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
Reinventing The
Service Industry
▶  Speed: Less than 90 days to see
live, custom-branded dashboards
with Proview
▶  Scale: Used by more than 400,000
facility managers
▶  Customer Obsession: Seamless
integration into ServiceChannel UI
▶  Improve efficiency of operations
and reduce costs with better
insights
“This new analytics
platform will
transform how our
customers
leverage data and
get fast answers to
their business-
critical questions.”
Sid Shetty, President
of Consulting
Services

11GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
More Questions? Get in Touch!
Questions about GoodData
team@gooddata.com
LinkedIn
bit.ly/StephanieBurton
Questions +
Comments?

12GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
Get in Touch
Jeff Morris
jeff.morris@gooddata.com
www.gooddata.com
Twitter: @jeffmmorris
LinkedIn: Bit.ly/jeffmorris
Boris Evelson
bevelson@forrester.com
http://blogs.forrester.com/
boris_evelson
Twitter: @bevelson
LinkedIn: bevelson

13GoodData Confidential. 2013 GoodData Corporation. All rights
reserved.
Thank You!

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Karan Sachdeva

This document discusses strategies for effective data monetization. It outlines challenges in data monetization like the increasing volume of data and the need for AI. It presents a data monetization maturity model and describes the top 5 best practices for successful data monetization as: getting the foundation right by infusing AI/data science; focusing on people like data engineers and scientists; constructing a robust business model; and ensuring trust and ethics. The document recommends using case generation and prioritization and provides industry examples. It promotes IBM Cloud Private for Data as an integrated analytics platform to overcome challenges and realize the benefits of data monetization.

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Watch full webinar here: https://bit.ly/3lSwLyU En la era de la explosión de la información repartida en distintas fuentes, el gobierno de datos es un componente clave para garantizar la disponibilidad, usabilidad, integridad y seguridad de la información. Asimismo, el conjunto de procesos, roles y políticas que define permite que las organizaciones alcancen sus objetivos asegurando el uso eficiente de sus datos. La virtualización de datos forma parte de las herramientas estratégica para implementar y optimizar el gobierno de datos. Esta tecnología permite a las empresas crear una visión 360º de sus datos y establecer controles de seguridad y políticas de acceso sobre toda la infraestructura, independientemente del formato o de su ubicación. De ese modo, reúne múltiples fuentes de datos, las hace accesibles desde una sola capa y proporciona capacidades de trazabilidad para supervisar los cambios en los datos. Le invitamos a participar en este webinar para aprender: - Cómo acelerar la integración de datos provenientes de fuentes de datos fragmentados en los sistemas internos y externos y obtener una vista integral de la información. - Cómo activar en toda la empresa una sola capa de acceso a los datos con medidas de protección. - Cómo la virtualización de datos proporciona los pilares para cumplir con las normativas actuales de protección de datos mediante auditoría, catálogo y seguridad de datos.

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Watch this webinar in full here: https://buff.ly/2MVTKqL Self-Service BI promises to remove the bottleneck that exists between IT and business users. The truth is, if data is handed over to a wide range of data consumers without proper guardrails in place, it can result in data anarchy. Attend this session to learn why data virtualization: • Is a must for implementing the right self-service BI • Makes self-service BI useful for every business user • Accelerates any self-service BI initiative

Fast Fish Forum 16 November 2016

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The Fast Fish Forum is an opportunity for challengers of convention and drivers of progress to come together for the benefit of South African business and society. The forum consists of purposeful, committed and open-minded people across industries, organisations and roles who collaborate and learn together; creating a critical mass that drives innovative change in our country. At the second event, held at the BSG offices on 16 November 2016, we discussed two highly topical subjects: 1. Enhancing customer value using big data and actionable insights. 2. Driving innovation through customer insights. To find out more and join the conversation follow us @FastFishForum and http://bit.ly/fastfishforum.

Analytics in a Day Virtual Workshop

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The document discusses the challenges of maintaining separate data lake and data warehouse systems. It notes that businesses need to integrate these areas to overcome issues like managing diverse workloads, providing consistent security and user management across uses cases, and enabling data sharing between data science and business analytics teams. An integrated system is needed that can support both structured analytics and big data/semi-structured workloads from a single platform.

Big Data – wie aus Daten strategische Resourcen und Ihr Wettbewerbsvorteil we...

IBM Switzerland

1) The document discusses IBM's viewpoint on big data and analytics, defining big data as having high volume, velocity, variety and veracity of data. 2) It outlines IBM's big data platform which can handle all stages of data from ingestion to analysis and help organizations leverage big data across different industries. 3) The platform allows organizations to start small with big data and scale up their systems over time without replacing existing components.

BIG Data & Hadoop Applications in Finance

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Klarna Tech Talk - Mind the Data!

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This document discusses Klarna Tech Talk on managing data. It provides an overview of IBM's data integration, governance, and big data capabilities. IBM states it can help clients turn information into insights, deepen engagement, enable agile business, accelerate innovation, deliver enterprise mobility, optimize infrastructure, and manage risk through technology innovations like big data analytics, security intelligence, cloud computing, and mobile solutions. The document promotes IBM's data fabric and smart data solutions for integrating, governing, and providing access to data across an organization.

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The document discusses GoodData, a cloud-based analytics platform. It can combine and analyze a broad range of structured and unstructured data sources, including social media and enterprise data. GoodData uses this data to provide insights across different business functions such as revenue management, operations, marketing, and social media. Leading enterprises are already using GoodData to power applications across various use cases.

Analyst Keynote: Forrester: Data Fabric Strategy is Vital for Business Innova...

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Gai 2013 q3_seminar_20130826_03

GA InfoMart Ltd

The document outlines an agenda for a meeting on big data. The agenda includes presentations on leveraging social media, analyzing social media, key drivers and performance monitoring, and services provided. It also discusses the large and growing amount of data generated daily and challenges of analyzing big data. Solutions discussed include business intelligence (BI) tools, SPSS Catalyst for big data analytics, and social media analytics. Benefits and examples of each solution are provided. The document encourages leveraging BI solutions from G A InfoMart to gain insights from data.

Oracle big data and rtd v5

techsuda

1) The document discusses how Oracle's Real-Time Decisions (RTD) platform can analyze past big data to predict the future through real-time decision making. 2) RTD uses machine learning to continuously learn from data and events to automatically improve all future decisions in real-time within business processes. 3) Example use cases where RTD could be applied include customer experience optimization, multi-channel marketing, intelligent process optimization, and risk/fraud analytics.

It’s Not About Big Data – It’s About Big Insights - SAP Webinar - 20 Aug 201...

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Apache Hadoop is an open source software framework for distributed storage and processing of large datasets across clusters of computers. It allows businesses to combine multiple types of analytics on the same data at massive scale. Forrester predicts that 100% of large enterprises will adopt Hadoop and related technologies like Spark for big data analytics in the next two years due to advantages in storage capacity, emerging status, and ability to gain new business value from data. The document provides examples of how companies use big data and analytics to optimize operations and gain new insights.

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How Cloud BI Powers Today's Agile Enterprise

1. 1GoodData Confidential. 2013 GoodData Corporation. All rights reserved. How Cloud BI Powers Today’s Agile Enterprise Boris Evelson Vice President, Principal Analyst, Forrester Jeff Morris VP Marketing, GoodData

3. 3GoodData Confidential. 2013 GoodData Corporation. All rights reserved. Data Visualization Tableau, Qlikview, Spotfire, etc. Analytics Engine Cognos, Oracle, Business Objects, etc. Data Marts MySQL, PostgreSQL, etc. Data Warehouse Oracle, Teradata, Netezza, Microsoft, etc. ETL Informatica, DataStage, Boomi, Snaplogic,, etc. Infrastructure Servers, Storage, Networking, etc. Traditional BI Data Collaboration Data Visualization Analytics Engine Data Marts Data Warehouse ELT / ETL Infrastructure End to End, Analytics Platform as a Service

4. 4GoodData Confidential. 2013 GoodData Corporation. All rights reserved. The Case For the Cloud Time to Value Invisible Ops Single Code Base Instant Provisioning Innovation Security Constantly Updated Cloud BI API driven Traditional BI: Fixed, silo-ed, resource intensive Single source of truth, for everyone

7. 7GoodData Confidential. 2013 GoodData Corporation. All rights reserved. Styling the Cloud ▶  Customer Obsession. Combine 6 cloud data sources to identify top customers ▶  Speed to value. Dashboards live in 30 days ▶  Innovation: Zero additional resources to deploy and manage GoodData ▶  Cyber Monday: They were off track to meet their target. With GoodData, they were able to identify the bottleneck and pivot their strategy immediately. "You shouldn't have to be a database administrator to sell a great pair of pants.” David Glueck, Sr. Director of Data Science and Engineering

8. 8GoodData Confidential. 2013 GoodData Corporation. All rights reserved. Data Driven From Day One ▶  Speed: Up and running within 4 days, with more than 6 data sources ▶  Innovation: Dramatically reduced operating hours ▶  Customer Obsession: The maturity, scalability and usability of the platform were unmatched by Domo ▶  Uses GoodData to evaluate strategy and pivot in real time. “GoodData delivered in 4 days what other vendors promised to do in months.” Tony Wilder, VP Operations

9. 9GoodData Confidential. 2013 GoodData Corporation. All rights reserved. Delight Delivered, Zen-fully ▸  Speed: 90 days to see live, seamlessly integrated dashboards ▸  Excellence: Used by 80% of their Plus and Enterprise customers everyday ▸  Scale: 50,000 ETL syncs per day ▸  Advanced Analytics promote upgrades and decrease probability to churn “Advanced Analytics is the number one reason our customers upgrade.” Sam Boonin, Vice President of Products

10. 10GoodData Confidential. 2013 GoodData Corporation. All rights reserved. Reinventing The Service Industry ▶  Speed: Less than 90 days to see live, custom-branded dashboards with Proview ▶  Scale: Used by more than 400,000 facility managers ▶  Customer Obsession: Seamless integration into ServiceChannel UI ▶  Improve efficiency of operations and reduce costs with better insights “This new analytics platform will transform how our customers leverage data and get fast answers to their business- critical questions.” Sid Shetty, President of Consulting Services

11. 11GoodData Confidential. 2013 GoodData Corporation. All rights reserved. More Questions? Get in Touch! Questions about GoodData team@gooddata.com LinkedIn bit.ly/StephanieBurton Questions + Comments?

12. 12GoodData Confidential. 2013 GoodData Corporation. All rights reserved. Get in Touch Jeff Morris jeff.morris@gooddata.com www.gooddata.com Twitter: @jeffmmorris LinkedIn: Bit.ly/jeffmorris Boris Evelson bevelson@forrester.com http://blogs.forrester.com/ boris_evelson Twitter: @bevelson LinkedIn: bevelson

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