It is more important than ever to know every aspect of customer behavior–and that power comes from marketing technology. Today’s marketing departments own—and, increasingly, buy—the tools that measure customer behavior. If an organization wants to know how to drive conversions from their websites, which activities are building the sales pipeline and how social media is impacting revenue, to name a few, they are turning to marketers. The marketing role is evolving and expanding, and it is becoming a key strategic driver.

The CMO is ready to evolve into a more technology-enabled role. A CMTO, according to some. Several stats show us how marketers are influencing technology more than ever before:

• CMOs will spend more on IT than CIOs in 2017
• Also by 2017, spending on high-tech marketing is expected to increase 11%
• The marketing department, not the CIO, buys 30 percent of marketing technology
• This year, nearly 70 percent of companies plan to increase spend on data-related marketing initiatives.

The role of marketing has become a more strategic one. Marketers are now influencing not only customer interactions, but the direction of the business at large, driven by a bird’s-eye view of how customers operate. As marketing becomes not just a functional role, but a driver of new business, companies will need to re-think how they procure and adapt technology. It’s a brave new world, and technology marketers are at the helm.

Like this blog? You might also enjoy:

• The Art and Science of Data-Driven Marketing
• Marketing Metrics Overload: What Really Matters
• 7 Strategies For a Stellar Executive Marketing Dashboard

Find out how data can empower your marketing team.

The post The Era of Marketing Technology Has Arrived appeared first on GoodData.

Now, big data promises to consolidate the CIO’s strategic position even further. With it, everyday business users can analyze massive amounts of social, mobile, financial, shopping and operational data. Processed and analyzed correctly, new data can deliver the insight managers need to make better business decisions. It’s the CIO’s role to facilitate that insight.

That means simply running the right systems and ensuring continuous performance is no longer enough. Instead, CIOs need to think strategically about how the technologies and products mesh with your business users’ process. Do the products empower or confuse? Do they open users to new ways to explore data, find answers and make smart decisions? If you don’t provide the right tools and options, you’ve squandered the big data promise of greater efficiency, more sales and improved marketing campaigns. Guess who business users will blame for the wrong tools and implementation?

On the other hand, if you provide the right big-data apps and platforms, your business colleagues will sing your praise for enabling them to turn data into insights they can act on. Think of it: A CIO as rock star. Here are three ways to make sure you deliver legendary impact.

1. Ask the right questions. First, assume that big data will help you find new sources of revenue and profit. But for that to happen, you need to identify the internal and external data that impact your business.

   So ask yourself: Where is the data you need? How do you get your hands on it? Which stakeholders do you have to convince to share it? What’s the best way to distribute the right data to the right department?

2. Set the table. You must put in place the infrastructure that allows business users to access the data they need. It may not be a cut-and-dried situation. The customer service department, for example, requires different data models than marketing or finance. At the same time, you don’t want to overwhelm your IT systems and staff. With your parameters in place, shop for a big data platform that fits your pre-defined needs. This preparation will make you resistant to hype.

3. Work across stakeholders. Marketing, sales, finance, facilities — all of these departments are now in your wheelhouse. Meet with stakeholders to find out where each organization needs the most improvement, and set up your data analytics platform to address these needs. Work out the correct correlations, benchmarks and data models.

Big data can help your company find new customers, eliminate operational inefficiencies, and uncover new ways to make and save money. Even better, with today’s apps and platforms, any company can achieve these benefits. Big data isn’t just for big companies, any more.

Watch this space for our series exploring how companies of all sizes can achieve meaningful impact with big data — and how CIOs can make themselves legends throughout their organizations.

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The post How Big Data Can Help You Become a Legendary CIO 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.

The following Powered By guest blog comes from John Collins, CEO at GreatVines, a leading provider of superior software solutions for producers and distributors of wine, spirits and beer.

 
 
Modernizing Sales Technology For the Beverage Industry

The beverage industry operates in a unique, multi-tiered marketplace. In order to sell their products, beverage producers must abide by different laws and distribution requirements in each state. People in Omaha and Salt Lake City might demand the same pinot grigio, for example, but that wine cannot be stocked in the same venues in each state.

Once distribution is cleared up, beverage makers still have a number of questions to address. Should the company’s pinot grigio be on wine lists, and if so, at which establishments? Where are sales slow, and what does the team need to do in order to pick them up? Which thirsty consumers in which regions is the company not addressing?

Simple Solutions to Complex Questions

Without advanced technology, it’s hard for a beverage company to have complete oversight of all of its operations. Prior to GreatVines, it took a large manual effort, often in the form of an Excel spreadsheet, to track performance across markets. Only the largest companies had the resources to measure the performance of distributors and outlets in each state.

GreatVines empowers not only large but also smaller companies to have access to advanced analytics technology that used to be available formerly to only the largest players. A small craft distillery like High West in Salt Lake City can use the same advanced analytics as the companies behind PBR, Bacardi and Jack Daniel’s use.

Full Visibility Across Markets

For the first time, companies can gain the kind of visibility into their operations that lets them answer those questions. Our customers feed data from a multitude of sources into GreatVines, from CRM systems such as Salesforce to enterprise resource planning (ERP) tools to syndicated data from Nielsen. GoodData crunches that information in a way that enables companies to assess and act upon their business results. Once companies can read their performance across the board, they can better target their products for each market, in the process helping the distributors who aren’t doing as well.

Removing the Guesswork

By gaining a fact-based oversight of their operations, companies can sell the right product in the right market at the right time. They no longer have to shoot in the dark to see where they need gain a wine list, cold box or cocktail bar placement. Companies are empowered to set intelligent goals, then gain ongoing visibility into their team’s progress towards those goals. Beverage companies can, as we like to say, truly “serve visibility by the case.”

The post Big Data, Big Distribution 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.

The post Celebrating Five Years of Empowering Customers appeared first on GoodData.

E-commerce and mobile commerce are significant factors in driving Black Friday and Cyber Monday purchases. The top 500 retail websites experienced a 24 percent
 increase in visitors during last year’s Cyber Monday, Experian Hitwise found.
 Transaction revenues originating from mobile devices tripled in 2011, Bazaarvoice
 reports.

Smart Consumers Respond to Smart Marketing
Consumers today are more socially networked and mobile than ever. They’re also
 sharing more about their tastes, preferences and shopping habits than ever before.
 As an e-commerce expert, it’s your job to use that shared intelligence in order to
 deliver consumers the kinds of offers they’ll actually buy.

GoodData can help you decide how, where and with whom you will share your Black
 Friday and Cyber Monday discounts. The details you find will help you personalize 
offers to customers, enabling you to drive purchasing decisions before the customer
 even opens up your webpage.

Sales Mean More than Playing the Odds
Target, for example, became somewhat famous this year for its strategy of
 discovering when a woman is pregnant and which trimester she’s in. The store
 will then send her coupons for things she needs in each trimester, such as prenatal
 vitamins, sealing brand loyalty in the process.

In a less extreme example, Best Buy uses data-driven intelligence to follow up with
 customers and build scenarios to sell more product. The CMO Site’s Mitch Wagner
 explains that when a customer buys a mobile phone, Best Buy sends them a PDF 60 
days later. This document describes the hands-free headset laws that exist in many
 states, compelling the consumer to purchase a Bluetooth headset in the process.

Time to Truly Monetize Black Friday and Cyber Monday
The point is that in order to drive sales, you have to send customers targeted 
information. GoodData provides you with actionable, relevant information on those
 customers. The result is greater monetization of your Big Data.

If your customers like to use mobile devices, you can send them mobile-only
 promotions. If you’ve been putting marketing dollars into a crowd that only buys 
your lowest-margin goods, GoodData will help you focus your time and money on 
bigger profit opportunities. Only when you focus on the details that matter can you 
begin to play the marketing odds in your favor, truly monetizing your Big Data in the 
process.

What are you doing to target customers during this year’s Black Friday and Cyber
Monday?

The post Are You Truly Monetizing Black Friday and Cyber Monday? appeared first on GoodData.

Thanks to new technologies like Hadoop, once-unquantifiable data (like Facebook conversations and Tweets) can now be quantified. Now, because nearly everything is measurable, everything is measured. The result: companies are spending big dollars to collect, store and measure astronomical amounts of data.

Show me the data!

There’s a name for this movement: Big Data. Not only is it a name, it has been the “it, it” of 2012, possibly trumping “the cloud.”

IDC defines Big Data as projects collecting 100 terabytes of data (hence the name), comprising two or more data formats. Earlier this year, the research firm predicted the market for Big Data technology and services will reach $16.9 billion by 2015, from $3.2 billion in 2010. That’s an astounding 40 percent annual growth rate.

The interesting thing is that IDC expects most of this spending to focus on infrastructure — the plumbing that enables companies to download, collect and store vast amounts of data.

To me, this is a missed opportunity. Why? We need to focus on unlocking the real business benefits from all this data.

Companies have not yet grasped the business potential of all the data pouring in from hundreds of sources—think apps in the cloud, on-premise partner software and from their own enterprise. In effect, businesses haven’t figured out how to make money from this fire hose of disparate data sources.

My point-of-view is that Big Data’s only real value lies in businesses’ ability to transform data into insight they can act on.

This means enabling sales managers to quickly analyze sales reps’ results, view new contracts lost or signed, and react to how actual performance compares against the plan they set months earlier. Help-desk staff could see how individual customers affect sales and profit, showing them when to go above-and-beyond to retain certain customers while allowing low-flyers to churn.  Or helping insurance agents to predict kinds and amounts of damage as hurricanes hurtle toward their region.

Steps to Monetize Big Data
To glean value from Big Data efforts, companies need to embrace the real-time value provided by the cloud. Viewing one’s data in real-time through the lens of cloud computing enables anyone, in any company, to make smart business decisions from the mammoth amounts of data, coming from all over the place.

Therefore, companies looking to monetize Big Data need to take these steps:

Use the cloud: These days businesses can tap into an enormous range of cloud services. They can subscribe to high-performance infrastructure services like Amazon Web Services, rent platforms as a service (comprising hardware, operating systems, storage and network capacity) from salesforce.com, store information in services like Box or automate billings with companies like Zuora. These are just examples.

Companies can also pick and choose from a long list of cloud-based apps to handle business tasks, from customer relationship management and marketing to human resources and financial management. In fact, I would argue that cloud services become the business application suite, eventually displacing behemoth on-premise packages from SAP or Oracle. Emphasis on “eventually,” since few enterprises are ready to jettison their million-dollar investments in Oracle and SAP.

For this reason, I advise companies to:

Start with what’s important: Forget about separate data sources. Data today spews in from hundreds sources, be it sales and customer data from salesforce.com, inventory levels from SAP, logistics information from your suppliers and employee data from Oracle. Companies run into trouble when they start off boiling the ocean, which is why I suggest companies begin with a few sources and then build up from there.

Fortunately, there is a way, thanks to a new generation of application programming interfaces (APIs) that allows more kinds of software, from different software makers, to communicate with each other, regardless of location. As a result, any company, regardless of size, can access the data it needs to make better decisions.

Which is why my next point is:

Make Big Data insight democratic: Five years ago, only executives at very large companies had access to business intelligence tools that culled patterns from data.

The cloud makes everything democratic — not just access to the data itself, but the insight as well, including best practices that don’t require the expertise of a SQL or a MapReduce programmer. The cloud enables anyone, anywhere, to recognize patterns from data and make smart decisions, faster. And that means any business professional, at any company should be able to monetize their Big Data.

When Big Data finally becomes useful to the rest of us, and not just IT wizards, it will take on an even larger role today and into tomorrow.

The post Big Data Conundrum: Show me the money! appeared first on GoodData.

Big Data is Eclipsing Traditional BI
Big Data offers major improvements over its predecessor in analytics, traditional business intelligence (BI). Take the fact that BI has always been top-down, putting data in the hands of executives and managers who are looking to track their businesses on the big-picture level. Big Data, on the other hand, is bottom-up. When properly harnessed, it empowers business end-users in the trenches, enabling them to carry out in-depth analysis to inform real-time decision-making.

While the scope of traditional BI is limited to structured data that can be stuffed into columns and rows on a data warehouse, the fact is that over 90% of today’s data is unstructured (as our VP of Marketing, Mike Smitheman discussed in his recent post). BI could never have anticipated the multitude of images, MP3 files, videos and social media snippets that companies would contend with in the Big Data era, but that’s the reality of business today. Traditional BI is stuck in a rut, left behind by forward-looking businesses that are desperate to tame and gain competitive advantage from unstructured business data floating around within and beyond their enterprise.

The Challenges of Big Data
Despite its advantages in today’s climate, Big Data can also present big challenges. Before reaping any benefits, a company must first hire data scientists to sift through huge volumes of data from a variety of sources. Even then, the questions remain: What valuable insights can be gleaned from the data? Who would benefit most from these insights? How can the selections of valuable data be culled, displayed, and shared with the right people?

Even beyond the implementation stage, Big Data solutions are difficult to carry out due to the demands of velocity, volume, variability: Big Data requires rapid processing of massive volumes of widely variable data types. Current solutions that purport to be magic bullet remedies lack the sophistication and scale to address these challenges.

Bypassing the Roadblocks
In attempting to overcome the three V’s, many of the early innovators in Big Data technologies focused on the areas of computing and storage. But at some point along the way, the progression of Big Data hit a roadblock when many organizations became sidetracked with Hadoop infrastructures and other low-level technologies. They’re stalled to this very day, midway along an endeavor that should have been about delivering true business value from data. Doing so is akin to building half of a bridge, only to continuously re-paint and upgrade the pre-existing suspension cables after losing sight of the original project goals.

Despite the temptation, businesses must resist the urge to follow the rest of the herd by hurling resources into a grand new Hadoop system or some other interim solution. Those who spend millions on merely manipulating their data with such insufficient solutions have lost sight of the ultimate end: profiting from concrete, actionable insights derived from business data. While these shortsighted businesses continue to toil over improving their half-built bridge, a select few have forged ahead to find new ways of spanning the waterway, all in the comfort of the cloud. These innovators have avoided the temptations and roadblocks by sharing a steadfast focus on the ultimate goal of profiting from their business data. They call this BizData Monetization.

The New Era of BizData Monetization
BizData Monetization borrows the best aspects from traditional in-house and cloud BI and Big Data solutions, drawing on structured data to optimize business strategy, but also employing massive volumes of unstructured data to get the real-time operational edge. The result is a fresh approach to extracting business value from data at a whole new scale. Business mashups, or Bashes, can now deliver executive-level views from intuitive, customizable dashboards that would stupefy a BI-enthusiast of yesteryear. Bashes breach Big Data’s obstacles by combining massive swaths of operational data from a wide variety of sources, including CRM and ERP systems and external social networks, revealing insights available on-demand, one mouse-click away.

In the era of BizData Monetization, businesses that seek to strategically differentiate themselves can no longer afford to stall out by hurling their resources into inadequate makeshift solutions, nor can they pit Big Data against traditional BI. To stay ahead of the pack, they must leverage a combination of the two to harness their data in order to profit from it. Only then will they achieve BizData Monetization.

The post Why we can no longer afford to pit Big Data against traditional BI appeared first on GoodData.

It gets worse. Social media has made a Frankenstein out of your company reputation. Gone are the days when you could dictate your own corporate story. Thanks to social networking, people around the world are setting up sentiments about a company’s product, offerings and even employees without anything they say being in the company’s control.

And beneath it all, there’s confusion. What, specifically, should you do with all this data? How do you make the best use of it?

If you have an old business intelligence (BI) solution, it’s time to drive a stake through that system’s heart and replace your useless historical charts with actionable real-time information. Just like a parent opening your closet and shining a flashlight inside, GoodData’s Bashes show you that there’s nothing to fear. Rather than being scared of big data monsters, you can Bash them to pieces — and use those monster parts to make a buck (or a million).

GoodData’s cloud-based BizData Monetization platform converts your big data into revenue outcomes. We prove that your big data can indeed be tamed and transformed into actionable, consumable, meaningful information, which you can then use to make real-time decisions for material profit.

So if there are big data monsters at your doorstep, there’s only one good way to make use of them. Invite them in and have them make you money.

The post Scared of Big Data? Don’t Be. appeared first on GoodData.

Three (More) Ways to Generate Revenue from Your Data

As GoodData’s first “Powered By” partner, it was a pleasure to speak at the Dreamforce 2012 session, “How to Generate Revenue from Your Data.” Since 2010, Get Satisfaction has offered a GoodData – Powered By solution – Community Health Analytics (CHA), – which is now used by more than half of our enterprise customers to monetize their data.

Since the launch of CHA, GoodData has become a core component of our sales and customer engagement process.  Due to the fact that we are able to provide a higher value proposition to our customers, CHA has opened up new opportunities for increased business. Here are three tips on how we turned data into revenue with GoodData:

#1 Build and Sell an Analytics Product (Powered By GoodData)

Get Satisfaction powers customer communities for thousands of businesses. These communities generate a lot of customer data. The challenge becomes how to present this large amount of data to our customers to help them understand the health of their community, the marketing value of word-of-mouth customer content, the effectiveness of community managers, and finally the efficiency of peer-to-peer interaction (or, what we call self-directedness.) Since launching CHA to in 2010, our enterprise customers continue to love it, primarily because it empowers them to analyze, synthesize and transform their data into valuable business insights.

#2 Tell a Value Story in Sales

Due to its strong value proposition to our customers, CHA has become a critical part of our sales process. We use CHA on sales calls and in demos, as it enables us to tell a much stronger ROI story. In addition, CHA is a key component of the customer implementation process as it allows us to set up our new customers with out-of-the-box key success metrics – a significant differentiator in our market. Enterprise clients utilizing GoodData’s platform are not only more likely to renew, but also to grow their relationship with Get Satisfaction.

#3 Expand the Big Data Story

In 2012, we’ve been working on telling an even bigger, “Big Data” story. Here are a few initiatives: Over the summer we released our own primary research that challenged much of the conventional wisdom around social marketing. In November 2012, we plan to release a new solution in partnership with GoodData, called “CHA for Small Business.” This offering is specifically designed to meet the analytics needs of our SMB customers. In addition, we are expanding “network-wide” analytics of Get Satisfaction data to better benchmark customer engagement, satisfaction and loyalty across industries.

We unquestionably attribute our data “smarts” to working with GoodData. They were not only integral to building our product, but also in building Get Satisfaction’s analytic capability and company DNA.

Scott Hirsch is Get Satisfaction’s Vice President of Product Marketing and Business Development. He is responsible for defining Get Satisfaction’s go-to-market product strategy, as well as strategic partnership development. Prior to joining Get Satisfaction, Scott was co-founder of a boutique strategy consultancy that brought design principles to exploration of greenfield products and business models for global 1000 clients. His clients included Rodale Publishing, Telefonica, Nokia, and British Telecom.

The post Three (More) Ways to Generate Revenue from Your Data appeared first on GoodData.