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Welcome to
the Future of Guided Analytics:
Introducing Insights-as-a-Service
Same BI, Different Day.
For 45 years, companies have been trying to solve the same problem — how to
organize and make sens...
Sure, the tools have become more sophisticated, but not as fast as the
requirements have become more complicated. Business...
1970 1980 1990 2000 2010
Disparate records
and information
stored in the
first database
MRP, order entry
and accounting
so...
What’s the Problem Here?
After almost half a century, why hasn’t the industry matured? The reason
BI hasn’t moved from the...
SAD FACT OF THE DAY:
80% of BI Projects Still Fail.
% of win% of fail
people:
75% of employees are now information workers, 100%
of business users still fighting with IT over speed/ease
of use...
Who’s Driving the Bus...iness Intelligence?
OK, it’s a bad joke, but still a good question. Who’s in charge of BI now on
t...
You might be surprised. While IT is still actively involved in the process of
vetting and implementing BI solutions, busin...
ease of use:
Self-service exploration
personalization:
Customizable dashboards
speed of insight:
in memory data repositori...
FUN FACT OF THE DAY:
50% of Net-New Buying in BI Will Be Driven
by Data Discovery Requirements in 2014.
Let’s Extract Some Meaning
So what does this leave us? BI is now being led by business units and managers,
instead of corp...
With major feature additions to our Open Analytics platform, we’re leading the
way into a bold new world of BI. See, the w...
Introducing Insights-as-a-Service
As we enter this new era, with business users and units leading the charge in
sourcing a...
What benefits will Insights–as–a–Service provide above traditional BI, and
what must providers do to get there?
Expedites ...
Guiding the Future of Analytics
How did we arrive at this conclusion? Well, we’ve been doing this since 2007.
One thing (a...
From templatized applications to fully–custom projects, we know what types
of data our customers care about; what challeng...
people:
We understand your business and challenges. We build
customized enterprise–grade solutions around the insights
you...
Your Platform for Success
We’ve harnessed this collective intelligence in our powerful Insights Engine,
paving the way for...
Guiding the Future of Analytics
With these changes, GoodData has turned the outdated, technology-driven
BI model inside ou...
We own your problem:
We build and run the technical infrastructure, reducing
complexity while managing scale and updates v...
When Your Network is Your Net Worth
What’s the opportunity then, for businesses who choose GoodData? It’s the
ability to b...
Imagine the results you could
achieve in a world where your:
CMO can react within 10 clicks and 2 minutes to news that
sal...
Imagine the results you could
achieve in a world where your:
Director of Digital Marketing can experiment with new
channel...
Imagine the results you could
achieve in a world where your:
Director of Analytics can respond to a request from the
CEO t...
About GoodData
The industry’s first Insights–as–a–Service
provider, GoodData helps organizations
of all kinds tackle their...
team@gooddata.com 415-200-0186 @gooddataGet in touch. gooddata.com
Learn More, Do More
Interesting in learning more? Watch...
GoodData: Introducing Insights as a Service (White Paper)
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GoodData: Introducing Insights as a Service (White Paper)

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Crafted and copywrote a new white paper announcing new GoodData product features and positioning as the first entrant in the Insights-as-a-Service category. Led design and development applying new branding.

Summary: BI is entering a new era, an era where purchasing decisions are being led by business units and managers, instead of corporate systems and IT. Learn more about this fundamental market shift and the benefits Insights as a Service can offer your business in this white paper.

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GoodData: Introducing Insights as a Service (White Paper)

  1. 1. Welcome to the Future of Guided Analytics: Introducing Insights-as-a-Service
  2. 2. Same BI, Different Day. For 45 years, companies have been trying to solve the same problem — how to organize and make sense of the information they need to run their business. The good news is that, since Business Intelligence (BI) became a thing way back in 1970, a lot more tools have been added to the proverbial tool kit, which in it’s earliest stages consisted mostly of data warehousing tools provided by early innovators, like IBM. Companies today have access to much more sophisticated solutions to not just store their data, but bring it together and organize it into dashboards and reports in an effort to extract meaning. The reality is, most businesses are still challenged to turn data into results.
  3. 3. Sure, the tools have become more sophisticated, but not as fast as the requirements have become more complicated. Business is moving faster than most business intelligence solutions and providers can keep up. The volume, variety, velocity, and most importantly, the value of big data to an organization are outpacing not just the tools themselves, but companies’ and users’ ability to implement and use BI solutions effectively.
  4. 4. 1970 1980 1990 2000 2010 Disparate records and information stored in the first database MRP, order entry and accounting solutions released with slow, EOD or weekly batch-loading capabilities ERP systems bring together many solutions within a central database for company-wide reporting. ETL allows for growth. Data querying messy and unreliable. Business Intelligence is established as a known term. The first official BI tools are released- Cognos and Business Objects. First virtualized (cloud) databases take storage into the terabytes, and set the stage for the first wave of exec dashboards. LucidEra, one of the first SaaS BI providers, begins offering revenue and sales analytics on SFDC AppExchange. Large stack vendors still own 2/3 of BI market. LucidEra ceases operations. SaaS vendors GoodData and Birst offer safe harbor programs for their customers to continue doing cloud BI. Cloud BI begins gaining traction as sources and scale climb. Templatized applications emerge focused less on technology and more on user needs. GoodData becomes the first entrant in the Insights-as-a-Service space, delivering user driven BI solutions that start with insight. Gartner notes a shift of BI ownership to business groups, as users struggle to turn social, marketing and sales data into insight in an effort to move ahead of the competition. Digital data grows to 1227 exabytes annually. BI is pervasive in 35% of companies, as people consume 3.6 zettabytes of data. Data sources multiply. Data volume grows to 161 exabytes a year, IT teams struggle to maintain governance while meeting growing user needs. Business users begin to make BI decisions. And, smartphones become a thing. Web based data (social, internal, SaaS) begins to stress database capabilities. Data volume has hit 5 exabytes annually. Volume, variety and velocity become challenges. 1.5 exabytes of data is produced, signaling the advent of the big data era. The pressure begins for IT to deliver reports in hours, not weeks to business users and execs. ETL and data warehousing becomes the norm for companies looking to store increasing amounts of data and do faster reporting. Vendors like Prism, Informatica, and Ab Initio lead the space. Spreadsheet software Lotus 1-2-3 is released, for the first time users can begin to access, organize and control their data. IBM releases the first PC. Transactional and user-generated data begins to grow at an exponential rate. BI Technology BI Requirements
  5. 5. What’s the Problem Here? After almost half a century, why hasn’t the industry matured? The reason BI hasn’t moved from the growth phase to the mature phase is because the problem is always changing. That’s great news for cloud–based business intelligence service providers like us who are continually challenged to innovate, but not so great for the companies that depend on BI to deliver the insights they need to grow their business and stay ahead of the competition. So what’s the problem now? Believe it or not, as we sit in the middle of the digital age, in an environment where everything is connected (people, devices, machines and even things) — according to Gartner, the issue is communication. Communication between the data we crave, the technology we need, and the people who use it.
  6. 6. SAD FACT OF THE DAY: 80% of BI Projects Still Fail. % of win% of fail
  7. 7. people: 75% of employees are now information workers, 100% of business users still fighting with IT over speed/ease of use vs. security/scale. technology: 5 distinct, ever–changing technologies, most vendors only handle 1-3. data: 2.5 quintillion bytes of (potentially untrustworthy) data is produced every day, most vendors not prepared to do the dirty work on connection, integration, cleansing & quality.
  8. 8. Who’s Driving the Bus...iness Intelligence? OK, it’s a bad joke, but still a good question. Who’s in charge of BI now on the enterprise side? We know that vendors are working fast and furiously to solve the challenges in connecting technology, data and people. (As a side note, GoodData is end-to end across all 5 technologies. Plus we integrate cloud data sources better than any solution on the market, seriously crushing the competition at social and digital.) But who’s responsible for fixing the disconnect on the corporate side of the equation?
  9. 9. You might be surprised. While IT is still actively involved in the process of vetting and implementing BI solutions, business users are the ones driving demand. A recently published Gartner report, “Market Trends: Business Intelligence Tipping Points Herald a New Era of Analytics”, explains that four distinct tipping points will accelerate the adoption of business intelligence and analytics in 2014 and onwards — moving the market beyond systems analytics, and even business analytics, into true personal analytics. One of those tipping points? The need for real data discovery. That’s right, CEOs, CMOs, CSOs, business unit managers and the analysts that support them — are who’s driving requirements and the BI selection bus now. And what do they want? They want insights, they want them fast, and they don’t want to have to jump through hoops, or become a data scientist to find them. This represents a huge shift from the days where older, semantic–layer architectures fit the bill, to a new era where BI must be analysis (or better yet, insight) –centric, instead of reporting–centric. (Read more about this trend on our blog) What does that translate into in terms of platform requirements?
  10. 10. ease of use: Self-service exploration personalization: Customizable dashboards speed of insight: in memory data repositories
  11. 11. FUN FACT OF THE DAY: 50% of Net-New Buying in BI Will Be Driven by Data Discovery Requirements in 2014.
  12. 12. Let’s Extract Some Meaning So what does this leave us? BI is now being led by business units and managers, instead of corporate systems and IT. This changes everything. Gartner suggests that the fundamental shift from reporting to analysis will disrupt the market, allowing more agile entrants in the market to grab share from or even displace legacy vendors, as they deliver new, differentiated capabilities focused more on people and less on technology. The ones that will be the most successful are those that can solve the communication (and enablement) challenges, allowing users achieve faster discovery of critical business insights, while still conforming to IT’s governance needs. At the forefront of that fray? GoodData.
  13. 13. With major feature additions to our Open Analytics platform, we’re leading the way into a bold new world of BI. See, the way we’re looking at things is that this whole time — BI has been upside down in its approach. It’s been so heavily focused on solving the technology and data portions of the communication conundrum with infrastructure solutions — that the users (and the business context that they maintain) have been left out in the cold. Communication is the key to successful BI — but the real communication problem has been between people, data and the insights they need to drive their business forward. With business units now holding the proverbial keys (and budgets) to the future of BI — we, and our competitors are being challenged to deliver solutions that put decision-makers at the center, taking customers beyond the barriers of traditional BI.
  14. 14. Introducing Insights-as-a-Service As we enter this new era, with business users and units leading the charge in sourcing and purchasing solutions that are less stack and more outcome-oriented, there’s much to consider. Now that the traditional definition of BI has been shattered, and the paradigms around who owns it, what it encompasses and what it achieves challenged — is it still business intelligence, or is it something else? We propose that we’re at the advent of a whole new category: Insights-as-a-Service: a subscription analytics delivery model that abstracts the technology and management from the software, providing a streamlined interface and experience focused on guided data discovery, offering fast delivery of actionable insights.
  15. 15. What benefits will Insights–as–a–Service provide above traditional BI, and what must providers do to get there? Expedites time to value: When all of the technology and data complexity is abstracted from the implementation of an analytics tool, you start with analytics rather than data warehousing. True Insights–as–a–Service companies should produce insights in a matter of days. Increases user self-sufficiency: In order to accomplish the personalization and self-service exploration that Gartner mentions as key tipping point requirements, Insights-as-a-Service companies must develop an experience that allows all levels of users to explore their data. The software not only needs to be easy to use, it also must reduce reliance on IT to bring in more information. Offers more guidance than business intelligence: The benefit of abstracting the technology details from the analytics lifecycle is that businesses then have more time to focus on the decisions that are being made, based on the insights they get. Insights–as–a–Service companies must develop mechanisms to guide user behavior and highlight unknown recommendations and relationships. Gartner states that this tipping point has already begun, and we absolutely agree. In fact, we, and leading market analysts, believe that GoodData is strongly positioned to deliver the future of guided analytics, as the first entrant in the Insights–as–a–Service category.
  16. 16. Guiding the Future of Analytics How did we arrive at this conclusion? Well, we’ve been doing this since 2007. One thing (among many) that makes us really unique is that all of our customers projects live on the same computing fabric, in our multi-tenant, cloud platform environment. All 140,000 users; all 50,000 projects; and 100s of their data sources. This gives us a significant advantage over our competitors, who are still deploying projects in one-off silos, missing the opportunity to develop key learnings across their customer base. What it gives us in an unprecedented understanding into how and why our customers succeed, leveraging best practices culled from every customer at every step of the BI process — from data connection through visualization--via our end–to–end, fully–managed platform. We then bounce these up against our implementation and account management teams, identifying trends and validating KPIs, essentially gathering BI on our own BI.
  17. 17. From templatized applications to fully–custom projects, we know what types of data our customers care about; what challenges they face with that data; how to model those various sources together; common KPIs and metrics for various industries and projects; and even the ideal visualizations to communicate those stories. Additionally, we’ve learned the importance of experience and support — our services team is often the secret sauce that takes a project from good to great, guiding our customers along the path to results based on the lessons of thousands of project iterations. We call the institutional knowledge we’ve developed from seven years of deployments, services expertise and the activity and metadata that exists within more than 50,000 projects in our cloud-based open analytics platform — collective intelligence. It gives us an unmatched ability to understand the best practice insights and processes that are driving businesses today. And we’re using it to solve the communication challenge between people, their data, and the insights they need, delivering a one-of-a-kind, human experience that guides users to fast discovery and action.
  18. 18. people: We understand your business and challenges. We build customized enterprise–grade solutions around the insights you need. insights: We don’t stop at insights, we start there — giving the tools you need to iterate and act upon best practice KPIs, without engaging IT. data: We work as an extension of your team — managing the entire data pipeline on your behalf. so you can focus on decision–making.
  19. 19. Your Platform for Success We’ve harnessed this collective intelligence in our powerful Insights Engine, paving the way for a more intuitive and suggestive experience that actually recommends better ways to explore your own data. Our Analytical Designer delivers on business users’ need for powerful, fast data discovery — suggesting best practice KPIs that expose people to new perspectives on their data. With its easy drag and drop format, it serves as a canvas for inspiration. The beauty of the guided interface is that it gives business users and analysts the access they require to best practices, while also allowing them the flexibility to integrate their own experiences and judgement into the design of their visualizations. It’s the intersection between your expertise and ours. We also offer a unique interface called the Data Explorer. The Data Explorer allows users to add and integrate newly available data, without requiring IT support, alleviating communication challenges while speeding time to insight. Want to see what data poetry looks like in motion? Check out the new interface.
  20. 20. Guiding the Future of Analytics With these changes, GoodData has turned the outdated, technology-driven BI model inside out, pioneering a new category where insights (and the users that turn them into action) come first, Insights–as–a–Service. Leveraging collective intelligence, GoodData has disrupted the industry in much the same way as Google, Amazon and Netflix did when they began using behavioral metadata to improve search results, personalize the purchase experience, and recommend products. Suddenly customers could find information more quickly, they were better informed. They had a higher level of trust and confidence in their decisions. Via the power of collective intelligence, GoodData is creating a new paradigm with a guided analytics experience that is faster, smarter, more personal. What else do we do really well?
  21. 21. We own your problem: We build and run the technical infrastructure, reducing complexity while managing scale and updates via our SaaS-based solution. We find your solution: Whether you choose a templated solution, or a custom build, we’re here to right fit your project to your org and give you the support you need. We power your success: With our sales, marketing, and social accelerators, we’ll have you to your first insight in weeks and we’ll stick with you as your needs mature.
  22. 22. When Your Network is Your Net Worth What’s the opportunity then, for businesses who choose GoodData? It’s the ability to benefit for the very first time from the “network effect” of other companies using the same types of technologies. The chance to move faster using best practices; sidestep pitfalls by avoiding past mistakes; work in an environment of visibility instead of isolation; unfetter discovery while still ensuring proper governance; spend more time taking action instead of managing complexity. With the network, companies can focus on their net worth — making smarter decisions and taking wiser actions in real-time to achieve business wins. These are kinds of innovations businesses that adopt Insights-as-a-Service solutions can expect to benefit from as we enter the next phase of guided analytics. As your Analytics Ally, GoodData is here to help, as you take the next step in your journey to insights.
  23. 23. Imagine the results you could achieve in a world where your: CMO can react within 10 clicks and 2 minutes to news that sales are off track. Using the Analytical Designer, she’s guided for the first time to the discovery that upping the Facebook ad spend will help her exceed marketing sourced revenue goals. Clear Export to Report FILTERS DRAG HEREORADate: This quarter Series Engagement show in % compare to the same period of year before # X axis Date group by quarter 4,178.00 4,557.00 5,187.00 4,813.00 Engagement US Short (Date) 6k Series 1 5k 3k 4k 2k 1k 0k Q1/2014 Q2/2014 Q3/2014 Q4/2014 Apply Compare with same period the year before time RECOMMENDED NEXT STEPS Analytical Designer engagement DATA FIELDS ?Engagement Engagement Goal # Engagement % Till Goal# # Engagement Prev Q# Engagement Rate % Chang...# Engagement Till Goal.# Social E-Commerce Dashboards Reports Manage Search Data AnalystAnalyze
  24. 24. Imagine the results you could achieve in a world where your: Director of Digital Marketing can experiment with new channels. Using the Data Explorer, he can easily pull in new data sources, evaluate their projected contributions based on best practices and invest in those with the highest anticipated ROI. Social E-Commerce Operational Metrics Forecasts Predictive Channels Yearly OverviewAdvanced Analytics Social E-Commerce Help Chief Marketi...? TIMELINEDEVICECAMPAIGNPRODUCTCHANNELTYPE Filters Paid All All All All Jul 2014 - Dec... 7,200 19,216 27% 110k 45% PREV Q OF GOAL OF MONTHLY HISTORY SINCEPREV Q3,600 W1 This Last 0 Visitstotal 30k 33%2,004 PREV Q 17% 20kOF GOAL OF SINCEPREV Q Engagement 3.34k ENGAGEMENT HISTORY 26% 1MMOF GOAL OF Jul2014Aug 2014Sep 2014O ct2014N ov 2014D ec 2014 Conv % Chatter Act Salestotal .32MM 36%194k PREV Q SINCEPREV Q MONTHLY HISTORY essions 145,379 CompanyComparisonConversionFunnel
  25. 25. Imagine the results you could achieve in a world where your: Director of Analytics can respond to a request from the CEO to take recently released market data to forecast the impact of recent survey results on their share of voice and sales for the quarter – all in less than 10 minutes. Multiple Regression Analysis (Using R) Historical Facebook Interactions Trend Predicted Interactions 8 28 21 14 7 0 04/02/2014 04/08/2014 04/09/2014 04/10/2014 04/29/2014 04/30/2014 05/01/2014 05/02/2014 05/06/2014 05/07/2014 05/08/2014 05/09/2014 05/13/2014 05/14/2014 05/16/2014 05/19/2014 05/20/2014 05/22/2014 05/23/2014 05/26/2014 05/27/2014 05/29/2014 05/30/2014 i Facebook Interactions = #Likes + #Comments + #Shares MESSAGE DAY OF WEEK MESSAGE POST HOUR MESSAGE TYPE PAGE FANS 1 2 3 4 Sunday 9:00 am non-photo 2500 Forecast Dashboards Reports Manage Search Chief Marketi...Help? Statistical Analysis Stat Functions Time Series Forecasting Regression Analysis Multiple Regression Analysis (Using R) Lagged Correlation Outlier Analysis Normality Check
  26. 26. About GoodData The industry’s first Insights–as–a–Service provider, GoodData helps organizations of all kinds tackle their data challenges, delivering business-changing insights in a fraction of the time. Our Open Analytics Platform is the only solution that puts the power of Collective Intelligence at your fingertips — leveraging best practices developed from millions of user interactions to recommend better ways to explore your data. GoodData. We start with insights, so you can end with results.
  27. 27. team@gooddata.com 415-200-0186 @gooddataGet in touch. gooddata.com Learn More, Do More Interesting in learning more? Watch this short video to see how GoodData is changing the game. Contact Us

Crafted and copywrote a new white paper announcing new GoodData product features and positioning as the first entrant in the Insights-as-a-Service category. Led design and development applying new branding. Summary: BI is entering a new era, an era where purchasing decisions are being led by business units and managers, instead of corporate systems and IT. Learn more about this fundamental market shift and the benefits Insights as a Service can offer your business in this white paper.

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