Facebook can't buy a break with its newsfeeds. Every time it changes the model, somebody complains. But its latest snafu -- turning over the job to an algorithm without expert oversight is not the answer. Posting a fake story just isn't smart. It's not insights-driven; it's head-in-the-sand.
(The provenance of this image is opaque. If you own it, please let me know so I can attribute it properly.)
Rule #2: Marry algorithms and expertise to continuously improve outcomes. Algorithms are not a secret sauce; they are a model of the real world. If the algorithm says X and the expert says Y, then there's room to improve either the algorithm or human understanding. Innovators like Allstate Insurance (and Memorial Sloan Kettering Cancer Center) accomplish this by putting product experts (or oncologists) and data scientists in a room to continually refine their cognitive assistants. (see endnote 9)
The age of the customer demands that businesses drive innovation at ever faster speeds and with limited budgets. More than ever, innovation is of the essence, and innovation must be cost-effective. Frugal innovation offers an alternative approach to driving innovation as it is based on the tenet to do “more with less” in contrast to the widespread practice to increase the R&D budget. Frugal innovation:
Opens opportunities to cater to people “at the bottom of the pyramid.” Traditional R&D often ignores those customers with lower purchasing power. Frugal innovation specifically targets this customer segment, opening up opportunities for new revenue streams.
Is complimentary to traditional R&D, not a substitute. Frugal innovation will not replace traditional innovation, but it will add a new approach to drive innovation.
Requires a change of mindset and a different approach to innovation. The frugal innovator’s mindset sees constraints not as a disadvantage, but an opportunity. Frugal innovation supports and furthers a mindset for global innovative collaboration.
Horizontal CRM solutions — as mature as they are (and they have been around for 20+ years) — don't always do a good job at supporting industry-specific business processes. Consider these examples: CRM users in manufacturing need capabilities to track projects, schedules, time sheets, labor efficiencies, and equipment inventory in addition to core CRM attributes. Alternatively, a real estate professional would like to use CRM to track not only client contact information but also additional data elements such as properties, lease/sales comps, and stacking plans, which illustrate how healthy a property is in terms of tenants and leases.
So, over the years, CRM vendors have built vertical market software applications from the ground up for specific industries. Historic, heavyweight on-premises applications — like Oracle Siebel, with 21 built-on industry verticals — are giving way to newer, more agile software-as-a-service vertical offerings that offer scripted best practices. And other vendors have taken a different tactic and developed lighter-weight systems of engagement to consolidate and visualize data from disparate systems to drive better decision-making. This leaves a CRM buyer with three options to choose from:
Enterprises agree that speedy deployment of big data Hadoop platforms has been critical to their success, especially as use cases expand and proliferate. However, deploying Hadoop systems is often difficult, especially when supporting complex workloads and dealing with hundreds of terabytes or petabytes of data. Architects need a considerable amount of time and effort to install, tune, and optimize Hadoop. Hadoop-optimized systems (aka appliances) make on-premises deployments virtually instant and blazing fast to boot. Unlike generic hardware infrastructure, Hadoop-optimized systems are preconfigured and integrated hardware and software components to deliver optimal performance and support various big data workloads. They also support one or many of the major distros such as Cloudera, Hortonworks, IBM BigInsights, and MapR. As a result, organizations spend less time installing, tuning, troubleshooting, patching, upgrading, and dealing with integration- and scale-related issues.
Choose From Among 8 Hadoop-Optimized Systems Vendors
Retailers are inundated with promising technologies to revolutionize the in-store shopping experience for consumers. The problem? Our research shows that most of these experiences today miss the mark and may actually make the customer experience more complex or confusing. On the other hand, retailers are seeing significant, and measurable, value from technologies that directly improve store operations.
Operations technologies generally already offer significant business value to retailers. Of the 14 technologies we evaluated,nearly half are on track to provide significant business value for retailers. Retailers are finding that these technologies help their physical store teams and operations perform better and become more efficient by gleaning customer insights and spurring real-time action by store staff.
There's a fundamental difference between companies that apply digital technology as a bolt-on (frequently adding an eCommerce site, social media, or customer mobile apps) and those that take a more holistic approach to transforming the way the company uses technology to deliver better customer outcomes and drive revenue.
Transformers are more likely to succeed because they recognize their customers' expectations are evolving. The executives in these companies redesign their business to evolve alongside the expectations of their customers. These companies are obsessed with helping their customers achieve their desired outcomes, and they continuously explore new ways to do that profitably. This is why transformers are destined to become digital predators while bolt-on companies are more likely to become digital prey.
One of the distinguishing characteristics of many transformers that caught my attention back in 2013 remains a challenge for many companies in 2016: delivering digital operational excellence (DOX). DOX focuses on the ability to use emerging technologies to change operational aspects of the business (those not directly touching the customer) to create business agility in service of the customer. Why is this important? Because without the ability to evolve quickly, your company will fail. This is the digital dilemma.
I use this simple equation to illustrate my point:
Each year Forrester fields an Executive Survey to understand and benchmark enterprise mobile initiatives. This year, we are updating the survey to help business executives not only to benchmark and mature their approach to mobile but also to help them integrate mobile into their digital initiatives more holistically. (A marketer’s version of this survey will be released later this year).
Creating a strategy and building an operation to use mobile to win, serve and retain your customers is a complex task. Integrating mobile into a broader corporate strategy is even more complex. The survey results will help firms understand what strategies, technologies and operational elements (e.g., organization, process, metrics, talent, etc.) should be in place given their goals for mobile. All answers will be treated anonymously and only used in aggregate.
For your efforts, we will share a free copy of the topline survey results.
In 2016, consumers of all ages are extremely connected — the average US online adult uses more than four connected devices, three-quarters use a smartphone and more than half use a tablet. Forrester’s annual report on the State of Consumers and Technology: Benchmark 2016, US reveals the most important consumer technology trends that marketers need to know. This data-rich report is a graphical analysis of a range of topics about consumers and technology and serves as a benchmark for US consumers’ level of technology adoption, usage, and attitudes. Our annual benchmark report is based on Forrester's Technographics® online benchmark survey that we've been fielding since 1998. We analyze our findings through a generational lens, including Gen Z, Gen Y, Gen X, Younger Boomers, Older Boomers, and the Golden Generation.
What did we find this year? All generations use more devices this year than a year ago, but which devices they use depends heavily on age. For example, 84% of Gen Zers (ages 18-27) use a smartphone and laptop, but only 44% use a desktop computer and 49% use a tablet. Their older Millennial counterparts, Gen Yers (ages 28 -36), have higher incomes and in addition to using smartphones and tablets, two-thirds use a tablet. In contrast, three-quarters of the Golden Generation (ages 72+) uses a desktop computer, and only a third use a smartphone.
Big data management solutions address data sets that are so large and complex that traditional data processing applications are inadequate. Nonrelational databases are one of the key tools to manage and search the increasingly large and diverse types of data. Scaling is built into nonrelational databases, allowing them to support millions of users and hundreds of terabytes of data. The cost of a nonrelational database is typically only 10% of the cost of a comparable traditional relational database.