Enter GoodData for Yammer, which will show you any trend you want, when you want to see it.

In partnership with Kanjoya, the leading platform for emotional engagement, GoodData combines your operational reporting and emotional sentiment in the same dashboard, providing full context on the structured and unstructured data in your Yammer networks.

We’ve built GoodData for Yammer around best practices and KPIs for measuring internal and external Yammer networks, enabling the measuring and scoring of everything from the big-picture health of your network to individual posts:

• Highlight key trends and topics in your network, groups and even individual posts.
• Perform ad-hoc analysis on key data in Yammer networks (internal and external) around users, groups and Yams.
• Ensure you’re making the most out of your ESN by tracking and analyzing internal Yammer usage and adoption.
• Pit historical trends against current data to see the health of your user base and group activity trends. For example, you can track engagement this quarter, versus previous quarters versus all-time to see how usage patterns are changing and to measure the effect of any programs or campaigns.
  
• Receive text and email alerts if your metrics demand immediate attention.
• Gain a complete overview of your social investments by adding additional data sources, including Facebook, Twitter, Google+, Enterprise Social Networks (ESNs), CRM and other internal data sources.

The Wisdom of the Cloud

GoodData for Yammer is actually an application built on top of GoodData’s leading business intelligence (BI) platform. Thanks to our cloud-based architecture, GoodData scales to accommodate Big Data and easily connects into all types of data sources (cloud-based or on-prem).  This openness allows us to integrate with leading technology companies like Kanjoya, for example, which uses their natural language processing (NLP) engine to provide rich sentiment and emotion scoring for all Yams in the GoodData for Yammer application. Moreover, because all data is on the cloud, it is more secure. (To learn why, read this.)

In short, the cloud is enabling the new era of BI. For the first time ever, it is easy to collaborate with other platforms to compile, analyze and score disparate information sources. Users on any device can see and interact this information in an intuitive visual form, gaining insight on exactly where to improve their business. That capability, more than anything before it, will truly enable you to see the ROI of your network.

The post Nail Your Network ROI With GoodData for Yammer ™ appeared first on GoodData.

Our vision has always been to enable business people to make smarter decisions so they can turn their data into a source of revenue, profit and competitive advantage. Our mission is to make that insight effortless and real-time for users and their companies, by running and managing GoodData’s powerful infrastructure ourselves.

Our cloud-based platform and apps — mash-ups of reports, analytics, metrics and best practices —  are the result. They prove that big data can be user-friendly. Our apps simultaneously crunch data from the Web, mobile devices, social media and legacy systems, and generate a visually stunning  user interface can easily understand. The result? Better data, better insights and greater  monetization. This year’s CODiE award, announced by SIIA at All About the Cloud conference, offers gratifying proof that we are exceeding our mission.

We’re excited and humbled to receive our CODiE because it means that our years of work and dedication have truly paid off for our users — who have always been our  number one priority.

Once again, we  thank you all.

Contact us to learn more about GoodData.

The post GoodData Wins CODiE Award for Best Monetization Solution appeared first on GoodData.

I couldn’t have made that statement five years ago. What’s changed is a new generation of powerful, best-of-breed cloud products that delivers vertical capabilities — like data analysis, collaboration or customer support — all working together through open APIs. It’s like the cloud version of Lego blocks that can be combined into fascinating new shapes. The result? Accidental innovation, as SaaS partners and customers mix and match apps and functions at will.

Today’s announcement between GoodData and Box shows what I mean. Because of our open APIs, the new GoodBox Bash provides a common data platform that makes it easy for customers to analyze how effectively teams collaborate on Box. Companies can understand, for example, how team members use shared content, see successful habits, and easily measure the value and effectiveness of content. Customers can start using the new GoodBox Bash practically “out of the box.”

Compare that experience with the smoke-and-mirrors press releases of partnerships we’ve come to expect from legacy software vendors — lots of noise signifying nothing.

And that’s my underlying point. When we and other SaaS companies announce joint products or partnerships, it actually means something. This is the beauty of the new “cloud economy.” Imagine being able to combine and immediately deploy cloud-based apps from amazing SaaS companies — like Box, Zendesk for customer service, Zuora for online billing and GoodData for data analysis. I like to think of it as best-of-breed finally putting inbred out of its misery. (Or at least, ending of the misery of enterprises chained to the likes of Oracle, SAP and IBM.)

Just think of the ramifications for IT organizations! After more than 20 years of promise, the tech industry has finally liberated IT to focus on business priorities. That means quickly giving users powerful software that does exactly what they need, with the scale and reach of the cloud. Accent on “quickly” and “powerful” — two attributes that define the new generation of best-of-breed cloud apps and platforms.

I’ll use GoodData as an example. Our GoodData platform handles a mind-numbing array of big-data software built to handle tasks like data processing, data mining, programming, workflow and queries. And while these programs are incredibly powerful, they’re also amazingly complex. At GoodData, we handle all these programs at the back end so that our customers don’t have to. And that means our customers can quickly deploy powerful analytics across all their important data.

We aren’t alone in that philosophy. In fact, I’d say all great best-of-breed SaaS companies share the same mission and goal — which is to make it easy for business to consume technology.

Now, instead of worrying about flipping switches and keeping the lights on, IT folks take on new responsibilities related to the cloud — from governance, integration, capacity planning and security to vetting apps across all the lines of business. And that means the cloud economy satisfies another promise technology vendors have been making for years: Turning IT into a strategic partner that enables business value.

As I said: the cloud wins. Welcome to the new cloud economy.

Read Box’s blog or visit our website for more information on GoodBox.

The post The Cloud Economy: Putting an End to Inbred Software appeared first on GoodData.

That’s because Gartner not only lumped us with old school of on-premise software vendors but it also used a scale built to measure the traditional BI value stack. While everybody else sells software or appliances, we sell business service.

We just don’t fit their model.

Let me explain: GoodData is the only true pure SaaS player that Gartner looked at. We deliver end-to-end data integration, data warehousing, data analysis and data dashboarding in the cloud to thousands of customers and tens of thousands of users. We give business people an intuitive, visual app that lets them make sense out of mountains of disparate data so they can quickly make the right business decisions.

With GoodData there’s no or little IT involvement. We deliver predictable total cost of ownership (TCO), zero risk, and — as with other SaaS products — align with customers’ business needs.

This is how we achieved three times higher BI penetration than the rest of industry — as Gartner noted in the report.  And it’s why we gained more than 8,000 amazing business customers as well as grew our revenue fivefold in the last year. Yes, we are actually delivering on the decades old vision of BI for masses!

Sounds great, right? Yet Gartner’s predominant audience has always been the IT organization. As such, they emphasize features such as ad hoc query, development tools, BI infrastructure, OLAP, Microsoft Office integration, collaboration, search-based data discovery, prescriptive modeling simulation and optimization, predictive modeling and data mining.

And while we more than meet our customers’ needs for these features, unlike Gartner our business users measure us on uptime, real-time data, usability, flexibility, time-to-value, relevant KPIs, data quality and data trust. In effect, our customers value simplicity over complexity. And that’s what we deliver: The best end-user experience.

We place higher value on broad user adoption than we do on exposing OLAP cubes and ETL runs to our users (and to the analysts). As a SaaS company we constantly bring new features and functionality to all our customers. In fact, we issue a release every week — delivering new capabilities that all our customers can use immediately without the fear of breaking their legacy systems. I believe that’s why Gartner’s description of GoodData is a snapshot in history that’s at least six months behind today’s reality.

Cloud computing is happening now. With it, any business user can explore external information on LinkedIn, customer records from Salesforce and internal data from their legacy systems. And that means they use GoodData to take control of their future, today.  At GoodData, we constantly strive to hide backend complexities that our users don’t care about, so that they can perform the analyses they do. That’s the new role of BI, and I’m eager to see that new reality reflected in Gartner’s Magic Quadrant.

The post Fitting a Square Peg in a Round Hole appeared first on GoodData.

The following Powered By guest blog comes from Tony Gaughan, CTO at Marketron, the media industry’s leading provider of business software solutions and services.

How GoodData Helped Us Win New Business

When I started working with Marketron more than two years ago, we were in the process of finding a solution that would help us maximize the information that we could cull from our data. Eighty percent of the $15 billion in U.S. radio advertising spend flows through our solutions. We were sitting on a wealth of knowledge. We wanted to pull it into new services for our customer base.

A Specific Solution for Big Data

Our business model involves providing a rollup of a number of different products to each customer, customized according to their needs. Even though we provide a variety of offerings, we needed a specific kind of solution for managing our data. Our more than 7,000 clients range from small mom-and-pop radio stations to large media organizations like Cox and Univision. We wanted a single service that could address everyone’s needs, no matter the type of organization.

Our criteria for selection reflected common needs for companies looking for an analytics solution. We needed to a platform-based approach that would scale, combine different channels (including video and mobile) and traffic solutions. We also wanted to streamline and simplify our reporting, but in a service that included more capabilities than we’d had before.

A Common Thread

In searching for our own solution, I was able to devise a more general checklist that could apply to anyone looking for an analytics solution. Here are some of the things to look for:

• Apps that could scale and perform complex functions while appearing inside of a simple interface.
• Customers should have an easy way to see their data, both in aggregate and in detail.
• The software should be in a platform, so that it can rationalize information across different data sources and put that information into consistent reports.
• Services should be able to address multiple channels, including mobile content and social media. In our case, we operating in the growing space in which various media plays, such as visual and mobile, are combined with broadcast.
• Data from other traffic solutions  should be ingested into our platform and be reported in aggregate.
• An added bonus is the ability to offload reporting from an operational system into a warehouse approach.

We discovered that GoodData was pre-built with these capabilities, offering us a much wider claim to market out of the box. The types of reports, dashboards and capabilities offered by GoodData gave us the flexibility we needed to address all of our customers.

Our Insight feature, which uses GoodData, enables companies to consistently see all of their data across their entire organization. This feature alone had the unexpected benefit of winning us more business, because it filled a need that clients were hungry for.

We know that we made the right choice in selecting GoodData.

To learn more about how Marketron partnered with GoodData to drive new business, read the full case study.
To join GoodData’s partner program, find out more here.

About Tony Gaughan
As chief technology officer at Marketron, Tony Gaughan is responsible for the company’s product strategy and roadmap, including development, quality assurance and delivery and technology strategy and architecture. Gaughan brings more than 20 years of product development and executive management experience in the technology industry. Prior to joining Marketron, Gaughan founded and was chief executive officer for serenhipity, a mobile social networking company. Prior to serenhipity, Gaughan was senior vice president and chief products officer at SGI, formerly Rackable Systems. At SGI, Gaughan led the company’s overall product vision and development.

The post How GoodData Helped Marketron Win New Business appeared first on GoodData.

To enable our customers to build a successful Customer Support strategy, we introduced a new Bash, GoodSupport. Just like the Bashes we introduced last summer — GoodMarketing, GoodSales and GoodSubscription — this new solution includes industry best practice metrics, reports, and dashboards, and leverages GoodData’s powerful analytics and beautiful visualizations.

To showcase how our new Bash, GoodSupport, can increase customer retention and turn customer data into a source of revenue and profits we thought it’d be useful to share how we’re using it internally at GoodData. We have asked our rockstar director of customer support, Ray Light, to share his thoughts on what it takes to build an A+ customer support organization and why good data is key.

Ray has taken advantage of the capabilities of GoodSupport to give him access to a wider range of relevant information in a way that makes it easier for him to manage his team and focus on the right actions.

“I tend to use customer support metrics for either strategic applications – for instance, when determining how I allocate team resources – or operational applications to understand how my team is performing.”

To run an efficient team, Ray needs to have both a strategic and operational view into his data. As such, Ray has divided his reports into separate strategic and operational areas, enabling him to only look at one dashboard for either purpose.

Here is a breakdown of how Ray leverages GoodSupport.

Step 1: Leveraging Data to Set a Successful Strategy

Ray relies on two core capabilities of GoodSupport to meet his strategic objectives: visualization and heat maps.

Visualize essential metrics

In Ray’s own words: “I need to know which issues are coming in at what rate and at what time so I can make sure my team is well equipped to handle incoming requests. I want to see all of the factors that influence those strategic decisions in one place.”

To provide this information, Ray uses graphs to visualize key metrics. These metrics include: number of tickets created by month over the last year to identify seasonality and long-term trends; tickets solved by agent over time to see how those tickets are resolved; and, last but not least, tickets created and solved by week for when a closer look is needed.

Heat maps reveal trends

Ray also found a lot of value in using heat maps. “I use heat maps to see how many tickets are created per hour over the course of an average day, and look at how that map changes over the last twelve weeks. This tells me within what hours of the day tickets tend to be created the most, and if that rate is changing. This information allows me to distribute my resources accordingly.”
The heat map tells Ray which hours of the day require the most resources from his team. He can also look at how tickets come in from different regions across different hours, suggesting that he might need to consider support in a specific language at a certain time of day, for example.

All of these pieces give Ray a good high-level overview of the status of our Customer Support team. As GoodData grows and more customer support tickets come in, Ray can see month-over-month trends and compare them against previous benchmarks to determine the progress made to date and adjust resource allocation accordingly — all from the insights offered by one dashboard in GoodSupport.

Step 2: Streamline Customer Support Operations Through Data

When it comes to the operational performance of the team, Ray relies on a different set of metrics. “I need real-time access to reports at an operational level, including customer support agent performance, customer satisfaction scoring and backlog status.”

Monitor customer support agent performance

To efficiently manage his team, Ray looks at how an average agent performs in terms of tickets closed, response time, satisfaction score, and other metrics. This allows him to understand what to expect if he were to add an additional agent to his team. Ray also requires visibility into individual agents’ performance relative to the average, allowing him to properly reward rockstar agents and make sure his team is achieving their KPIs.

Drive optimal customer satisfaction

Ray is measured on overall customer satisfaction, which requires an intimate understanding of the factors that influence customer satisfaction. As such, he looks at both overall customer satisfaction levels, as well as scores by individual customer support agent – all in the same report. This single report clearly shows Ray the feedback loop, detailing which customers submit tickets, how they are resolved, and how satisfied they are with the outcome so he can identify who needs more attention or support.

Minimize ticket backlog

While he monitors agent performance and customer satisfaction very closely, Ray checks in on ticket backlog a little less frequently. “I like to take a look once or twice a week to make sure we aren’t overlooking any customers’ tickets. I also want to understand the ratio of tickets created vs. solved in a week.”  Ideally, Ray’s team solves more tickets than are created, reducing backlog over time. He has built his backlog report to show which agents or customers are responsible for backlog tickets, flagging any potential problems with a customer or agent so he can manage accordingly.

Using GoodSupport, Ray is able to effectively set the long-term strategy for his team, while monitoring operational performance in real-time, to ensure happy GoodData customers. GoodSupport gives him everything he needs to know, without relying on complex, heavy IT systems or waiting days or weeks for reports to be created. It’s the new approach to customer support, where real-time insights shape the right actions.

If you’re interested in learning how GoodSupport can help you maintain happy customers, give us a call at  (415) 200-0186 or ask to set up a demo.

The post How to Build a Successful Customer Support Strategy Using, Well … Data appeared first on GoodData.

To celebrate the first annual Data Innovation Day, we wanted to share how we at GoodData use innovation to help businesses monetize their data.

Necessity is the mother of invention, as Plato said. A few years ago, the world of BI was sorely in need of innovation. GoodData stepped in to find a solution that would tame the reams of unstructured data and turn it into consumable, actionable and meaningful information.

GoodData launched because the business world was facing a data problem. Between social media, mobile and cloud-based apps, there are zettabytes of unstructured data floating around the Internet. Use this data well, and you’ll be a Master of the Universe. Ignore it, and your competition could outsmart you in the blink of an eye.

The traditional way of sorting data for business purposes was a process known as business intelligence (BI). Traditional tools by Oracle and IBM Cognos are designed to process data over a period of time and, when the machine is ready, spit out a report. They’re not built to handle today’s explosion of data today. Even business that have spent millions on BI infrastructure are left with analyses that don’t help them make quick, informed data-based decisions.

We innovated a process that arms business users with Bashes — highly visual, customizable, real time mash-ups of data from multiple social, mobile and cloud systems. These Bashes support specific business use cases connecting data with people and processes. Companies can use them to make real-time business decisions for material competitive advantage.

The result is BizData Monetization, ongoing intelligence designed to provide answers when business users need them. A sales manager could be alerted to a new prospect a mile away from a meeting. An inventory manager could know which store sold out of the latest Valentine’s Day candy and needs to be replenished. The use cases are endless, because the idea is to encourage better, faster decisions, resulting in not just the use of data, but its monetization.

Data innovation today is not about creating data, but about structuring it in a way that leads to better outcomes. With Bashes and BizData Monetization, GoodData accomplishes that need for the enterprise. We’re excited to have harnessed innovation in this space, and can’t wait to explore what other avenues are in store.

Presented by the Information Technology and Innovation Foundation, Data Innovation Day exists to raise awareness about the benefits and opportunities that come from increased use of information by individuals and the public and private sector.

Data Innovation Day events are happening in Washington, DC, the Bay Area, Philadelphia, and online. See them all here: http://www.datainnovationday.org/schedule-of-events/

The post At GoodData, Data Innovation Day is Every Day appeared first on GoodData.

As I look back at 2012, I’m reminded of Charles Dickens’ opening lines in A Tale of Two Cities: “It was the best of times, it was the worst of times…” In the year now passing, we have seen Sandy’s fury and the horrors of Newtown, and we also have witnessed amazing acts of discovery, wonder and acts of kindness. I prefer to remind myself of the good things that happened — in the world around us and in my company, GoodData. Which is why my look back is one of thanks.

And so, I give thanks for man’s curiosity and capacity to achieve great things. To me, the final flight of Space Shuttle Endeavour atop a jumbo jet epitomized our desire to constantly reach for the stars.And we saw that same yearning for the great and new after Curiosity traveled hundreds of millions of miles to land safely on Mars.

I also give thanks for technology’s impact on our everyday lives. This year, that impact is embodied by the combination of cloud computing, mobility and big data. This nexus of technologies changes everything.

With cloud computing, for example, we have the technology to pull in data from hundreds of sources — no matter if it’s social media, email, cloud-based apps, suppliers’ enterprise software or companies’ internal applications.

Mobile computing has reshaped how we expect to see that information, with users demanding fast access to visually intuitive apps and data.

And big data — specifically the emerging ability to make sense of vast sums of data — is changing how researchers, medical workers and business people find what’s important so they can make better decisions. These technologies have transformed how and where we work.

Taken together, cloud, mobile and big data have made 2012 a very good year for GoodData, allowing us to experience incredible momentum: We grew our annual revenue fivefold, tripled our customer base to 8,000 customers, doubled our staff to reach 220 employees, and tripled the number of our Powered By partners. And, we raised $25 million in a Series C round of funding, for almost $55 million raised to date.

This past year we’ve also honed our go-to market strategy, making it easier for people to harness and benefit from big data. The pillars of our new go to market startegy, which we call BizData Monetization, are Bashes — cloud-based, pre-built apps on our platform that enable anyone, in any size business, to turn mountains of disparate data into insight they can act on.

This year I’m also grateful for our amazing, new and existing customers, including mobile marketer Urban Airship, CourseSmart, who hosts the world’s largest library of eTextbooks and digital course materials, Time Warner and Pandora, which are all using GoodData to mine their data and uncover new sources of revenue and profit.

But GoodData is more than apps that present information in meaningful ways. It’s also a cloud-based platform that partners use to build apps for their specific needs. And I have to say: We have exceptional partners, including procurement software company Coupa, wine and spirits distributor GreatVines, customer-community provider Get Satisfaction, and Zendesk, a leading provider of Web-based customer-support software, ShopLocal and Zuora.

Finally, none of this would be able without our amazing employees, or what I affectionately call the GoodTeam. A big thank you to all of you, for making this a great company, on our way to build a long-lasting legacy.

So thank you 2012 for an incredible year. I am profoundly grateful.

Here’s to an even more amazing New Year for us all.

The post A Look Back at 2012: A Reminder to Cherish All Things Right and Good appeared first on GoodData.

Here are the three steps we’ve found at GoodData to help build long-term, successful customers.

Step 1: Stay in touch
Making a customer successful is an ongoing process –– it requires a commitment to innovation and customer engagement. By working with customers to understand their needs, your company can continually improve while getting buy-in on the roadmap.

To succeed, turn your customers into valuable partners. Reach out to your customers on day one to establish clear communication channels and help them understand next steps. Then, stay in touch regularly. A quiet customer does not mean everything is going smoothly – having an outreach plan will help you catch concerns early and keep customers engaged.

At GoodData, customers have one main point of contact throughout their life cycle. This person can marshal the resources needed to make them successful, and also looks for opportunities to add business value by sharing GoodData improvements.

Step 2: Take advantage of your usage data
Cloud-based businesses have unprecedented access to product-usage data. This data can provide insights into customer behavior that helps you stay ahead of your competition.

To track your growing customer base, build analytics that quickly show usage trends. If a customer’s usage is falling below a baseline, create an alert to contact that customer immediately. Catching and addressing negative trends early is key to retaining your customers.

GoodData tracks usage to identify at-risk and happy users. We have asked some of these customers to write guest blog posts, serve as sales references, and participate in events to share their experience with GoodData.

Step 3: Get a holistic view of customer satisfaction
Customer knowledge lives throughout your company. CRMs, accounting systems, website traffic analytics and other tools contain part of the customer story. But to keep customers onboard, you need to understand their entire experience.

Make sure you identify the data you need and where it exists in your company. Then, create a process to share insights from this information. At GoodData, we pull together sales information, usage data, communications history, satisfaction surveys, and more, and share it across the company to:

• Quickly understand the health of our customer base;
• Increase customer satisfaction and engagement;
• Identify and retain at-risk customers;
• Find upsell and cross-sell opportunities; and
• Efficiently predict and track renewals

Spotlight on customer success
As the SaaS model proliferates, smart customer management is taking center stage. Companies need to build close relationships with customers and leverage technology to stay competitive. Help your customers succeed and you’ll receive a standing ovation.

The post Three Steps to Customer Success in a SaaS World appeared first on GoodData.

“More than 85 percent of Fortune 500 organizations will fail to effectively exploit big data for competitive advantage.” –IDC ¹

While many other businesses see today’s proliferation of data as a burden, GoodData customers have actively sought out and tamed their data, creating tremendous value in the process. With GoodData, offerings aren’t just limited to the IT department or executive suite. Our fully integrated, cloud-based BizData Monetization (BDM) platform and Bashes (business mashups) empower entire organizations, giving marketing, sales, and support teams the insights they need to approach their jobs strategically and monetize their data. In fact, it’s hard to believe how these departments ever functioned with the lights off – in that primitive era before critical insights were just a click away. Rest assured, we’re better off having moved beyond the Stone Age of business intelligence. The merits of a real-time approach to harnessing big data are clear.

Empowering Customers

As SaaS systems and social media networks continue to proliferate, big data has become a business priority for many companies. The amount of diffused data floating around outside of organizations has increased exponentially over the years. And in today’s fast-paced business climate, the benefits of swift tactical decision making are clear. Still, many businesses struggle to define a big data strategy and lose the competitive edge as a result.

With GoodData’s BDM platform, customers interact with stunning dashboards that allow them to consolidate and analyze their pivotal business data on a single screen. Whether that data arrives from Salesforce, Marketo, Eloquoa, local databases, or Amazon S3, the BDM platform streamlines inputs with logical data models, rendering them accessible to any business user. Our dashboards have been used to track sales opportunities, help desk backlogs, marketing leads, campaign ROI, top sales reps, and endless other metrics that help drive business forward. Ultimately, GoodData empowers customers by allowing them to monitor their company’s pulse, so they’ll ready to take immediate action when business opportunities – or red flags – arise.

Over the past five years, 6,000 companies have capitalized on insights gleaned from GoodData’s platform, which has analyzed 150 million business activities to-date. Since signing on with GoodData, customers have used our tools to generate an estimated 50 billion dollars in savings or new revenue. That’s the equivalent of earning $10,000 more per employee.

How We’ve Pulled It Off

It took a lot of effort and more than 100 engineers to build the BDM platform. We’re proud of the results. Behind our user-friendly visualization is some serious horsepower. Our Analytical Engine tracks and predicts customer intentions from big data. Customer queries run through our Distributed Query Engine, which uses in-memory aggregation and multi-level caching to scour structured and unstructured data.

Our distributed Hadoop-style compute platform is optimized for real-time execution, generating instant responses to user queries. Our Cloud-based data management and ETL layer supports multiple protocols and application connectors, allowing companies to truly scale their big data. GoodData’s BDM platform has been audited and certified as both a technology and a service (SSAE16).

Spreading the Love

GoodData’s BDM platform has been able to impact the way so many customers do business because it was born in the cloud. With its multi-tenant architecture, GoodData was designed from the start to be the ultimately scalable platform. As a result, GoodData has delivered where traditional Business Intelligence has failed.

Traditional solutions demand heavy IT involvement and long implementation cycles that require the guidance of specialized experts. The result is often a prohibitively expensive solution that is only equipped to handle a limited set of structured data. Even then, traditional solutions store data in discrete silos, rendering them inaccessible to the typical business end-user.

The BDM platform turns the old BI model on its head. By offering a full range of solutions packaged into a single product, GoodData tames big data and transforms it into actionable information that companies can use to make real-time business decisions for competitive advantage. Today, the platform processes over 10 billion rows of data a year, with 50,000 Extract, Transform, Load (ETL) transactions occurring a day as new data is loaded onto the platform. And usage is continuing to soar.

Here at GoodData, we’re confident that our product is transforming the way our customers conduct business. But we’re not done yet. We’ll continue to work with the champions of our innovation – our customers – and use their feedback to drive the direction of our product.

There’s much to look forward to.

¹All estimates are derived from a detailed model, containing data points from a sample of customers and partners, and from internal company data.

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