What's Next For Digital Customer Experience Tools?

Anjali Yakkundi

Many enterprises we’ve spoken with have discovered that great digital customer experiences matter to their customers and ultimately have tangible bottom-line benefits. If you’re involved in delivering and executing great digital customer experiences, you’ll want to access Forrester’s new TechRadar report that digs into the diverse, rapidly evolving technology ecosystem that supports this strategic business imperative. My colleague David Aponovich recently wrote about the importance of these technologies. When sourcing these technologies, keep some of these key findings in mind:

  • Delivering contextual experiences is the holy grail for most organizations. This deeper level of personalization something organizations continue to strive for in order to deliver more relevant, adaptive, and predictive experiences to the customer. Technologies supporting contextualization dominate this TechRadar’s Growth phase.
  • Organizations need technologies that create business value out of a glut of data. The reality is that good content strategies rely on data to provide customer insights. Companies that effectively harness customer data, product data, social media data, and other information to create and deliver contextual cross-channel experiences will experience brand differentiation, customer loyalty, improved online metrics, and cross-channel revenue growth.
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SAP Takes Another Step Towards Agile BI With KXEN Acquisition

Boris Evelson

Business intelligence (BI) is an evergreen that simply refuses to give up and get commoditized. Even though very few vendors try to differentiate these days on commodity features like point and click, drag and drop, report grouping, ranking, and sorting filtering (for those that still do: Get with the program!), there are still plenty of innovative and differentiated features to master. We categorize these capabilities under the aegis of Forrester agile BI; they include:

  • Making BI more automated: suggestive BI, automatic information discovery, contextual BI, integrated and full BI life cycle, BI on BI.
  • Making BI more pervasive: embedding BI within applications and processes, within the information workplace, and collaborative, self-service, mobile, and cloud-based BI.
  • Making BI more unified: unifying structured data and unstructured content, batch and streaming BI, historical and predictive, and handling complex nonrelational data structures.
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Forget IaaS vs. PaaS: Devs Adopting Cloud Services Now

Jeffrey Hammond

I get a lot of questions about the best way for developers to move to the cloud. That’s a good thing, because trying to forklift your existing applications as is isn’t a recipe for success. Building elastic applications requires a focus on statelessness, atomicity, idempotence, and parallelism — qualities that are not often built into traditional “scale-up” applications. But I also get questions that I think are a bit beside the point, like “Which is better: infrastructure-as-a-service (IaaS) or platform-as-a-service (PaaS)?” My answer: "It depends on what you’re trying to accomplish, your teams’ skills, and how you like to consume software from ISVs.” That first question is often followed up by a second: “Who’s the leader in the public cloud space?” It’s like asking, “Who's the leading car maker?” There’s a volume answer and there’s a performance answer. It’s one answer if you like pickups, and it’s a different answer if you want an EV. You have to look at your individual needs and match the capabilities of the car and its “ilities” to those needs. That’s how I think we’re starting to see developer adoption of cloud services evolve, based around the capabilities of individual services — not the *aaS taxonomy that we pundits and vendors apply to what’s out there. This approach to service-based adoption is reflected in data from our Forrsights Developer Survey, Q1 2013, so I've chosen publish some of it today to illustrate the adoption differences we see from service to service. 

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Predictive Apps Are The Next Big Thing In App Development

Mike Gualtieri

This post is based on published research. Forrester clients can read the full report here: Predictive Apps Are The Next Big Thing

Developers And Their Business Counterparts Are Caught In A Trap

They swim in game-changing new technologies that can access more than a billion hyperconnected customers, but they struggle to design and develop applications that delight customers and dazzle shareholders with annuity-like streams of revenue. The challenge isn’t application development; app developers can ingest and use new technologies as fast as they come. The challenge is that developers are stuck in a design paradigm that reduces app design to making functionality and content decisions based on a few defined customer personas or segments.

Personas Are Sorely Insufficient

How could there be anything wrong with this conventional design paradigm? Functionality? Check. Content? Check. Customer personas? Ah — herein lies the problem. These aggregate representations of your customers can prove valuable when designing apps and are supposedly the state of the art when it comes to customer experience and app design, but personas are blind to the needs of the individual user. Personas were fine in 1999 and maybe even in 2009 — but no longer, because we live in a world of 7 billion “me”s. Customers increasingly expect and deserve to a have a personal relationship with the hundreds of brands in their lives. Companies that increasingly ratchet up individual experience will succeed. Those that don’t will increasingly become strangers to their customers.

Predictive Apps: The New Design Paradigm

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Instant Insight: What Is Master Data Management?

Mike Gualtieri

Messy, siloed data can lead to a muddled understanding of your customers and your business. The result: business goals suffer. Master data management (MDM) can help and Forrester Senior Analyst Michele Goetz is just the expert to explain it. Learn what MDM is in less than 3 minutes in this episode of Instant Insight.

About Forrester Instant Insight

Navigating the fast-changing world of business technology is a constant challenge. Forrester Instant Insight aims to provide simple, complete answers to some popular questions. Our goal: You will watch the video and be enlightened in 5 minutes or less.

This Forrester Instant Insight was produced by Mike Gualtieri, Rowan Curran, and Sarah Bookstein

What Is The Role Of Enterprise Apps AD&D Professionals In Operating Model Transformation?

George Lawrie

Digital disruption brings new competitors, new products, new services, and new types of customer relationships into focus. As firms adapt their product market channel strategies to new threats and opportunities, they look to transform their operating models: centralizing, decentralizing, and federating treasury, procurement, finance, IT, and even product development and customer relationships. App development and delivery pros challenged with supporting new operating models often ask Forrester whether they can share the same enterprise apps between group business units, and if they can share, what the benefits might be.

This research looked at large firms that have a federated or centralized IT model to understand what they chose to standardize and what they allowed to vary in their ERP. Figures 2 and 3 of the report look at the models and the typical drivers in terms of common customers, suppliers, bills of materials, and routings. Typical drivers for such enterprise apps strategies include harvesting the economies of standardized terms with suppliers and customers. In practice, the big prize is not actually “cost” — such as bulk purchase terms with group suppliers — but squeezing out excess working capital by applying common credit and settlement terms with group-level customers and suppliers, common comparable cycle times to drive out inventory and work in progress, and common cash forecasting and treasury to make cash and credit work more effectively at the group level.

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Developer Landscape 2013: North America And Europe

Jeffrey Hammond

During the summer, it seems that I spend almost every Saturday mowing the yard. I’m using a self-propelled walk-behind these days, so it takes a good 2 hours to get the whole thing done. The best part is always that feeling when you cut the last swatch of long grass and know it’s time for a nice glass of iced tea or a hefeweizen on the deck. But the good feeling is more than just about being done; it’s as much about completing a good job and being able to look back and survey the results of your labors.

That feeling of satisfaction is the same one I get when a complex and comprehensive research report I’ve written goes web live on our site. In this case, it’s a document that was more than three years in the planning and six months in the execution. If you’re a Forrester client, I hope you’ll find the Developer Landscape 2013 that Vivian Brown and I co-authored illuminating. It’s my first report that extracts some of the more interesting trends we found in our 2013 Forrsights Developer Survey (although James Staten has also tapped the data already here). While I’ve fielded developer surveys before, this one is different — it represents an organic comittment from Forrester Research to a deeper quantitative examination of who developers are; what tools, processes, and technologies they are adopting and using; and what their attitudes and aspirations are. Here’s why you should care:

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Delivering Mobile Innovation: Watch Out For Roadblocks!

Michael Facemire

I’m often asked how to enable corporate mobile innovation. While important, equally important are knowing what roadblocks you’ll hit when implementing a mobile strategy that highlights your innovation. From an application development and delivery perspective, the three that I focus on are:

  • Time-to-market requirements. Rarely do I talk to a client and hear “We need a mobile app in the next 12 to 18 months.” Instead, most want them yesterday. Successful mobile projects now take roughly four months to complete; many come in shorter than that. Fitting into this schedule requires your development cycle teams (requirements, design, dev, and test) to all work together on the same schedule. Reducing the traditional friction between these teams is a combination of better cross-discipline tooling (think Adobe Photoshop working directly with Edge Reflow and Edge Inspect) and better communication. The tooling is coming — start working on the communication now.
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TechnoPolitics Podcast: The Mobile Banking Mindshift

Mike Gualtieri

Click. That’s the sound of me taking a picture of a check with my smartphone to make a bank deposit. Mobile banking is getting very interesting and innovative, which is why one in four US adults are active mobile bankers. It’s only going to get bigger and better, says Forrester senior analyst and mobile banking expert Peter Wannemacher. He says, “Mobile banking will become the hub of many customers’ banking relationships.” And he has some strong advice for banking executives who too often have a haphazard mobile strategy. In this episode, TechnoPolitics asks Peter:

  • How is mobile banking adoption progressing?
  • How is innovation in mobile banking (such as mobile deposit) is driving consumers to mobile-first banking?
  • What should banking executives do to dominate the future of mobile banking?
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Information Fabric 3.0 Delivers The Next Generation Of Data Virtualization

Noel Yuhanna

For decades, firms have deployed applications and BI on independent databases and warehouses, supporting custom data models, scalability, and performance while speeding delivery. It’s become a nightmare to try to integrate the proliferation of data across these sources in order to deliver the unified view of business data required to support new business applications, analytics, and real-time insights. The explosion of new sources, driven by the triple-threat trends of mobile, social, and the cloud, amplified by partner data, market feeds, and machine-generated data, further aggravates the problem. Poorly integrated business data often leads to poor business decisions, reduces customer satisfaction and competitive advantage, and slows product innovation — ultimately limiting revenue.

Forrester’s latest research reveals how leading firms are coping with this explosion using data virtualization, leading us to release a major new version of our reference architecture, Information Fabric 3.0. Since Forrester invented the category of data virtualization eight years ago with the first version of information fabric, these solutions have continued to evolve. In this update, we reflect new business requirements and new technology options including big data, cloud, mobile, distributed in-memory caching, and dynamic services. Use information fabric 3.0 to inform and guide your data virtualization and integration strategy, especially where you require real-time data sharing, complex business transactions, more self-service access to data, integration of all types of data, and increased support for analytics and predictive analytics.

Information fabric 3.0 reflects significant innovation in data virtualization solutions, including:

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