Are you lost in a confusing soup of vendor-speak about what their data analytics stack actually offers? Big data, data platforms, advanced analytics, data lakes, real-time everything, streaming, the IoT, customer analytics, digital intelligence, real-time interaction, customer decision hubs, new-stuff-as-a-service, the list goes on.
Recognize the convergence happening as vendors evolve their technologies from doing just one thing like predictive analytics or search to many things together. For example, data integration, data warehouse, and BI tools are typically sold separately, but breakout vendor Looker combines data integration, model governance, basic BI, and a runtime for data applications all in one software layer that sits on your data lake. As another example, consider predictive analytics vendor Alpine Data Labs or SAS Viya from SAS. These vendors have built out a lot of data management and insight delivery tooling into their platforms because without it users struggle to maximize value. Another trend is big data search vendors like Maana that now also include hooks for predictive model execution as well as more data management functions. Lastly, systems integrators are packaging their IP and offering it as a data management and analytics integrated product — for example, Saama’s Fluid Analytics Engine or Infosys’ Information Platform.
In fact, the list of innovative vendors blending data management, analytics, and insight execution technology is growing by leaps and bounds. To address this trend, I just published a report, Insight Platforms Accelerate Digital Transformation, in which I created a broad definition that labels this trend:
Have you ever wondered about the tactical challenges B2B marketers (like you) face across role responsibilities like building brand/awareness, generating qualified demand, nurturing leads into qualified sales opportunities, enabling sales/channel partners to better close business, and expanding current customer relationships?
Or how your practices around technology adoption, process change, modern marketing skill development, and sales alignment compare to peers?
Many of you read our blog and research, or talk to us during inquiries, about best practices. We have deep experience helping many clients strategize and execute on many aspects of modern marketing, but sometimes it's great to have some fresh input all at once. Therefore, the B2B marketing research team has fielded a survey to take an indepth look at the state of B2B marketing tactics and sales enablement activity. We hope you will take about 10 to 15 minutes to share your experiences by clicking here.
All responses will be kept confidential and results reported in the aggregate (so no one can figure out who's leading and who's lagging!)
We planned to close the survey last Friday, but would LOVE to hear from a few more of you to help us get a nice healthy sample. And if you want Matt Camuso (our RA working on the survey) to stop badgering your with all those emails, now's the time to take the survey!
Time runs out officially this Friday, May 6 at 5 pm ET. Take this Survey! Or the dog gets it.... (c'mon, you remember National Lampoon?)
(Austin. Source: Paul Miller)
My very first report for Forrester, last summer, explored the ways in which the open source OpenStack cloud project has grown up. Once a science project for those interested in exploring the technologies or celebrating open source, OpenStack now runs key enterprise workloads for the likes of AT&T, BMW, Best Buy, and Volkswagen. They are choosing OpenStack because it gets the job done, not because they have some affinity for it, its community, its components, or its philosophy.
Last week, OpenStack returned to the scene of the very first community Summit - Austin - for an event that drew over 7,500 attendees from around the world.
There was little to wow, there was little that was truly new, there was little that deserved a headline. But there was a lot that demonstrated the steady, difficult, important slog to improve, to harden, to simplify. OpenStack continues to grow up.
It’s been a big news year for eCommerce in Latin America: Brazil’s economic instability has tempered eCommerce growth, elections in Argentina have raised hopes that favorable regulatory changes are ahead, and Amazon’s entry into Mexico has shone the spotlight on the region’s fastest growing market. According to Forrester’s recently published forecast, online retail sales in Brazil, Argentina, and Mexico (the region’s three largest markets) will reach $30.9 billion by 2020, up from $20.8 billion in 2015. Some key findings from this research include:
Brazil remains the region’s dominant eCommerce market. Brazil’s online retail sales today are more than double those for Mexico and Argentina combined. Despite economic (and political) woes, online sales are growing, and the market shows signs of maturity: Online shoppers in Brazil span social classes and buy across categories – with categories like apparel and footwear gaining a larger share of the overall online retail sales pie.
Macroeconomic conditions in Argentina have presented obstacles to eCommerce growth. Tight import restrictions enacted in 2012 made importing products extremely expensive and kept foreign investment in the market at bay. The newly elected government appears to be working towards loosening up these restrictions, though little has changed so far. Local traditional retailers are driving eCommerce growth and increasingly adding omnichannel capabilities for consumers. For example, traditional retailer Falabella offers customers visibility into store inventory, and flexible fulfillment options like multiple pick up sites or buy online pick up in store.
When was the last time you watched OTT programming? If you’re a millennial there’s an overwhelming chance (89%) that you watched it in the last week. Amazon’s vice president of video wants to capture 100% of OTT services in the US and integrate them onto the Fire platform. That means Application Development & Delivery Professionals need to respond to and support this trend.
Amazon's Michael Paull speaking at NAB 2016.
OTT or over-the-top lets you watch video (repurposed television programming or otherwise) through an app or device like a Google Chromecast, Amazon Fire or game console. They’re big with cord cutters, cord nevers and cord shavers as a way to reduce cost and increase selection. At the National Association of Broadcasters (NAB) conference in Las Vegas, Michael Paull the vice president of digital video at Amazon discussed discussed an OTT push for the company, where he revealed his goal of signing up 100% of SVOD (subscription video on demand) services in the US.
As an AD&D pro you cannot ignore the implications of OTT. You need to answer these questions:
Will you partner? Amazon made it clear that it’s making a big push to consolidate OTT players. It has 30 US SVOD services on its Fire TV platform and it’s hoping to grow. Partnering can mean growing your audience, but splitting your revenue; surrendering about 30% is standard.
I was recently at an event that Huawei hosted in Latin America for its telecom carrier community, in which Huawei was showing off an impressive range of carrier-related technology, including distributed data center management, advanced analytics and a heavy emphasis on compute and storage in addition to their traditionally strong core carrier technology. Interestingly they chose this venue for the Latin America unveling of the KunLun server, an impressive bit of engineering which clearly shows that innovation in big-iron x86 servers is not dead. There is some confusion about whether the March announcement at CeBIT constituted the official unveiling of the actual machine, but they had a real system on the floor at this event and claimed it was the first public showing of the actual system.
The Kunlun server, named after a mountian range in Quinghai Province, places Huawei squarely up against the highest end servers from HPE, IBM, Oracle, NEC and Fujitsu, with a list of very advanced RAS features, including memory migration, hot memory and CPU swap, predictive failure diagnostics and a host of others, some enabled by the underlying Xeon E7 technology and others added by Huawei through their custom node controller architecture ( essentially a standard feature of all large x86 servers). Partitionable into smaller logical servers, the Kunlun can serve as a core transaction processor for extreme workloads or as a collection of tightly coupled electrically and logically isolated servers.
So why unveil this high-end engine at a telecom carrier show? My read is that since the carriers will be at the center of much of the IoT action, and that the data streams they process will need an ever expanding inventory of processing capacity, so this is a pretty good venue, Plus it reinforces the emerging primacy of analytics, especially in-memory analytics, which it can address extremely well with its current 24TB (32G DIMMs) of DRAM.
It’s that time of the year again. As we approach the month of June, Forrester brings its annual flagship India event Digital Transformation Mumbai 2016 to the country’s most senior business leaders.
As Indian businesses become increasingly familiar with the importance of digital to their success, they often ask “Where do we start, and how can we navigate the choppy waters of transformation?” We are now in the age of the customer, and its singular focus on customers is what will make or break any digital transformation. Our seminal research on digital maturity, customer experience, and business technology has helped our customers across the globe become successful in their digital initiatives. This event is about providing you a first-hand glimpse of our latest research.
Our main goal for this event is to help you understand where to start on your digital transformation journey. We will bring to you the theme of the customer-obsessed operating model, which provides a blueprint for your digital transformation. We have carefully curated a team of Forrester and industry experts to talk about how the four dimensions of this operating model help organizations in their digital transformation.
We will highlight the imperative for organizations to:
Become customer-led than simply being aware of customer needs.
Be able to drive actions from insights than simply being data-rich.
Be fast — because being perfect but slow doesn’t cut it anymore.
Get rid of internal siloes and derive power from being connected.
In the latter half of last year, I started researching mobile application testing tools. My research focused, so far, on functional testing, primarily around mobile app front-end testing. As I began the research, it became clear that the automation capabilities testers needed to validate app UIs was there, but application development and delivery teams felt that device labs were too expensive to be practical. During the research for the Vendor Landscape: Front-End Mobile Testing Tools report, we expected that device labs would be a differentiator among products only to discover that most of the major mobile testing solutions provide them in one way or another. There are differences between vendors when it comes to the flexibility, configurability, and management of their device lab offerings, but if you’re delivering customer-facing mobile apps you can do much of your testing on physical devices (our recommended method).
In earlier reports, we recommended that, because of the cost of on-device testing, development organizations focused their testing efforts on the most important aspect of their apps, letting users find issues in less popular areas of the app for them. With most of the major mobile testing vendors offering device labs plus Amazon and Google’s entry into the device cloud space, competition will drive down cost and make on-device testing the more common option for mobile app testing. Microsoft’s acquisition of Xamarin now gives Microsoft a robust and capable device lab, stuffed with a variety of Android and iOS devices, which adds to the competition in this space as well.
The other day, I stopped by my bank’s ATM to get some cash. After entering my card and PIN and while waiting for my money (during which I was a captive audience), I was presented with an ad for a new service from the bank. Unfortunately, the ad’s call-to-action was a message telling me to call the bank’s 1-800 number to find out more.
I had just encountered one of the broken or inadequate cross-channel experiences that millions of customers face every year.
This is a lose-lose situation: In this case, the bank knew — or should have known — a heck of a lot about me as a customer, yet it failed to use context* to design a better experience and guide me seamlessly across touchpoints. And as a result, the bank also failed to cross-sell me any products or services.
Forrester defines cross-channel behavior as any instance in which a customer or prospect moves from one touchpoint to another when completing an objective. Today, cross-channel goes way beyond online-to-offline transitions; going forward, these interactions will only increase in frequency and importance. Digital executives at banks are left with a tangle of customer journeys across various touchpoints (see image below).
The pace of business – heck, the pace of life, gets faster and faster. Faster processing, faster delivery, faster innovation – and faster adoption and abandonment of that innovation -- is the reality we all live in today.
Leaders run fast businesses to win and to stay apace or in front of dynamic customers and disruptive competitive forces. They can’t out-slow the competition. Speed is the only option.
I had the pleasure of participating in a webinar panel to discuss what it means to work at one speed (fast) versus at two speeds as bimodal IT advocates. We discussed why businesses are forced to go fast, the reality and downside of a bimodal IT strategy, and the strategies and approaches to winning based on speed. Here is a quick view of the ground we covered.
The first part of our discussion focused on the factors that are making companies operate at fast speeds. Broadly, it comes down to three factors:
Hyper-adoption and hyper-abandonment: Customers are willing to rapidly try, use, and then possibly discard content, apps, and services in a world of seemingly infinite choices and extremely low cost to entry and exit. This dynamic fundamentally changes – speeds up – what it means to “have” a customer.