Five Shades Darker? – What The Diageo “Indirect Access” Judgement Really Means For SAP Customers

Duncan Jones

At last, exactly two years later, the long-awaited sequel to my hit, if overly censored, blog post: Five Shades Of Grey (How software buyers and license managers should be compliant without being submissive). The trigger is the SAP vs Diageo verdict, which generated a lot of hysterical blogging and tweeting with dire predictions for SAP customers. IMO most commentators have overlooked the crucial parts of the judgment and therefore significantly overstated the case’s negative implications for SAP customers. I believe the judgement has actually made this grey area slightly more black-and-white. My analysis, subject to the usual IANAL disclaimer, is that the real implications are:

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What Exactly The Heck Are Prescriptive Analytics?

Mike Gualtieri

Prescriptive analyticsPrescriptive analytics is about using data and analytics to improve decisions and therefore the effectiveness of actions. Isn’t that what all analytics should be about? A hearty “yes” to that because, if analytics does not lead to more informed decisions and more effective actions, then why do it at all? Many wrongly and incompletely define prescriptive analytics as the what comes after predictive analytics. Our research indicates that prescriptive analytics is not a specific type of analytics, but rather an umbrella term for many types of analytics that can improve decisions. Think of the term “prescriptive” as the goal of all these analytics — to make more effective decisions — rather than a specific analytical technique. Forrester formally defines prescriptive analytics as:

"Any combination of analytics, math, experiments, simulation, and/or artificial intelligence used to improve the effectiveness of decisions made by humans or by decision logic embedded in applications."

Prescriptive Analytics Inform And Evolve Decision Logic Whether To Act (not not act) And What Action To Take

Prescriptive analytics can be used in two ways:

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Scifi Version Of AI Is Not Available Yet

Mike Gualtieri

Spark Summit East came to Boston this year and I was there to enjoy it including being interviewed by Dave Vallente and George Gilbert about Apache Spark and AI on The Cube. We talk about the waning of the term "Big Data" , but get quickly into the future of AI and Apache Spark.

Get ready for Business Intelligence market next wave of M&A

Boris Evelson

Business intelligence (BI) is a runaway locomotive that keeps picking up speed in terms of enterprise interest, adoption, and spending levels. The result: Forrester now tracks 73(!) vendors in the segment. Their architectures and user interfaces vary, but they support similar use cases. Forrester started the original research with fewer than 30 vendors in 2014 and ended up with 73 in the current 2017 update. Expect this dynamic to continue for the foreseeable future. Even though the BI market is quite mature from the point of view of the number of players and breadth and depth of their functionality, it is still quite immature regarding business and technology maturity, adoption, and penetration levels in user organizations. Vendors will continue to seize this opportunity — new players will keep springing up, and large vendors will continue to acquire them.No market, even a

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Futurology Episode 4: The Future of The Connected Workplace

Michael Facemire

This post was authored by Claudia Tajima, Researcher at Forrester.

 

On the second part of the forth episode of our Futurology webinar series, Mike Facemire, Julie Ask and James McQuivey convened to discuss the future of the connected workplace. Looking forward, they discussed what change in the workplace will look like and what it will take to get there.

See WEBINAR: Forrester Futurology Episode IV: The Future Of Me (Part 2).

 

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This Valentine’s Day, Pause and Appreciate Flower Logistics...

Phoenix Zhang

Over the past few days, Boston has been slammed by multiple snow storms.  This causes challenges for my pending flight to San Jose, but another deadline looms:  some roses might not be able to make it to Boston on time for Valentine's Day. Only someone deeply concerned with Supply Chain and Logistics worries about delivery time on Valentine’s Day. But perhaps we all should:  it could very easily shape whether you get a kiss or the cold shoulder for Valentine’s Day tomorrow.

According to IPSOS floral tracking study, cut, fresh flowers take center stage for three holidays:  Christmas, Mother's Day and Valentine's Day[i].  The US imported 976 million cut flower stems in advance of Valentine’s Day last year, between January 1 and February 14.[ii] You might guess these flowers are from the Netherlands. However, the Netherlands supplied only 2% of all imported volume. Seventy-one percent of Valentine's Day flowers came from Colombia alone and 19% from Ecuador. 

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Top Trends For CRM In 2017 - It's All About Differentiated (Digital) Experiences

Kate Leggett

We’re firmly in the age of the customer, where customers - not executives - decide how customer-centric their companies are. And while good customer experiences can help control costs, executives are more interested in their potential to fuel sustainable top-line growth.

Forrester defines CRM as:

The business processes and supporting technologies that support the key activities of targeting, acquiring, retaining, understanding, and collaborating with customers.

CRM is the foundational building block of a company's customer experience strategy to win, serve, and retain customers. It enables new business strategies, integrates to many technologies and is constantly rejuvenated by new trends. Here are 4 of the 10 trends that we see in CRM in 2017.

Customers want to easily connect with, interact with, make purchases from, or get service from a company.  For example, 72% of customers say that valuing their time is the most important thing that a company can do to provide them with good service. Companies must offer customers ways to easily engage with them to foster an ongoing omnichannel dialogue and relationship that strengthen loyalty and retention. And they will reap the rewards: Omnichannel customers are more active, spend more, and are less expensive to support than single-channel customers.

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Forrester’s First CPQ Wave Addresses The Tech Needs Of The Empowered Buyer

John Bruno

If you’re in a B2B environment, you’ve undoubtedly noticed the changing behaviors of your customers in recent years. As a result, technologies have shifted their focus to get closer to the customer and I'm not talking about just CRM or SFA. With a flurry of acquisitions and new entrants to the CPQ market popping up regularly, we decided to tighten the aperture and evaluate the top 11 CPQ vendors in The Forrester Wave™: Configure-Price-Quote Solutions, Q1 2017. These vendors do the most to address the rising, empowered B2B buyer. Below are some of the key findings from the report:

  • Customer and buyer experiences become a priority. CPQ is not about engineers. It’s not even about sellers anymore. CPQ is about the customer, and in this case that means both the end buyer of your products and the customers of your technology (indirect channels selling on your behalf) expect easy and effective interactions. CPQ is now a key enabler to delivering a high quality customer experience.

  • CPQ has no channel limitations. CPQ is not, I repeat, is not a back office solution anymore. It’s long addressed the needs of front line sales reps, and now it extends its functionality to all available channels. This means companies can extend the same business rules and logic to indirect channels (i.e. partners, dealers, distributors, etc.), customer service reps, eCommerce sites, and even emerging channels like IoT devices.

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Turn Supply chain analytics to your Moneyball

Phoenix Zhang

I watched Moneyball over the weekend for the first time, and I really enjoyed it. As a nerd, I love all movies that demonstrate the power of mathematics and analytics (On top of that, Brad Pitt did a fine job).

But while everyone loves the of using statistical insight to overturn old ideas and revolutionize baseball, but why are supply chain managers reluctant to apply similar winning concepts? According to a Forrester Business Technographics Survey, only 27% of supply chain management professionals and 22% of logistics and distribution professionals are using or plan to use big data analytics or plan to. At Forrester, I frequently discuss supply chain analytics with clients and how to leverage supply chain insights to drive business growth or improve operation efficiency. Everyone knows analytics is important, but there are still plenty of myths related to what to measure, what tools to use, and what types of analytics to apply. I’d like to briefly summarize my thoughts on these three topics:

  • Focus on a few key measurements that matters the most. Don’t go down the rabbit hole of measuring everything in multiple ways. It wastes time and effort — and most importantly, it causes confusion. Define a few key performance indicators (KPIs) that accurately measure your top business priorities and stick to them. Your KPI could be perfect order percentage, on-time delivery, or perhaps percentage on base. Data will never be perfectly clean, but you need meaningful analytics, so clean it up as much as you can and establish an ongoing master program for data maintenance.
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AI Makers Will Squelch Free Speech

Mike Gualtieri

Artificial intelligence (AI) is real, albiet maturing slowly. You experience it when you talk to Alexa, when you see a creepily-targeted online ad, and when Netxflix turns you on toArtificial Intelligence Stranger Things. Oh yea, and that self-driving car over there is AI super-powered! AI is indeed cool, but many are scared about how it ultimatley may impact society. Stephen Hawking, Elon Musk, and even the Woz warned that "...artificial intelligence can potentially be more dangerous than nuclear war." In a nutshell, they are concerned about AI that may evolve to outsmart humans and kill people - a valid concern. But, I have another more terrifying concern that would likely be an insidious precursor to runaway, killer AI.

Billionaires And Tech Giants Will Censor AI

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