Posts Tagged ‘market research’
Mary Meeker Moving On
Recode is reporting that “legendary” Internet analyst Mary Meeker is moving on from VC firm Kleiner Perkins, and in the process taking a number of her team with her.
Meeker was one of the first Wall Street analysts and cheerleaders of note during the dot-com boom, and has become renowned for her annual “Internet Trends” slide deck, which are must reads for those of us trying to keep track of the constantly changing digital marketplace.
So why the exit from Kleiner Perkins?
Meeker is leading an exodus of late-stage investors from Kleiner Perkins in its most dramatic shake-up since legendary investor John Doerr stepped back from his role more than two years ago. Meeker’s exit — she, along with three of her partners, will form a new firm — will undoubtedly deal a hard blow to Kleiner Perkins, given her high profile in the business community and her stature as by far the most senior woman in venture capital.
Meeker is expected to continue to produce her annual Internet Trends report.
Mary Meeker’s Latest Internet Trends Report
Mary Meeker’s latest Internet Trends report was released yesterday, and like so many others, I’m rough and tumbling through her slides as fast as my little can keep up.
TechCrunch provided a quick snapshot summary that I found very helpful before embarking upon my deeper dive:
Internet adoption: As of 2018, half the world population, or about 3.6 billion people, will be on the internet. That’s thanks in large part to cheaper Android phones and Wifi becoming more available, though individual services will have a tougher time adding new users as the web hits saturation.
Mobile usage: While smartphone shipments are flat and internet user growth is slowing, U.S. adults are spending more time online thanks to mobile, clocking 5.9 hours per day in 2017 versus 5.6 hours in 2016.
Mobile ads: People are shifting their time to mobile faster than ad dollars are following, creating a $7 billion mobile ad opportunity, though platforms are increasingly responsible for providing safe content to host those ads.
Crypto: Interest in cryptocurrency is exploding as Coinbase’s user count has nearly quadrupled since January 2017
Voice: Voice technology is at an inflection point due to speech recognition hitting 95% accuracy and the sales explosion for Amazon Echo which went from over 10 million to over 30 million sold in total by the end of 2017.
Daily usage – Revenue gains for services like Facebook are tightly coupled with daily user growth, showing how profitable it is to become a regular habit.
Tech investment: We’re at an all-time high for public and private investment in technology, while the top six public R&D + capex spenders are all technology companies.
Ecommerce vs Brick & Mortar: Ecommerce growth quickens as now 13% of all retail purchases happen online and parcel shipments are rising swiftly, signaling big opportunities for new shopping apps.
Amazon: More people start product searches on Amazon than search engines now, but Jeff Bezos still relies on other surfaces like Facebook and YouTube to inspire people to want things.
Subscription services: They’re seeing massive adoption, with Netflix up 25%, The New York Times up 43%, and Spotify up 48% year-over-year in 2017. A free tier accelerates conversion rates.
Education: Employees seek retraining and education from YouTube and online courses to keep up with new job requirements and pay off skyrocketing student loan debt.
Freelancing: Employees crave scheduling and work-from-home flexibility, and internet discovery of freelance work led it to grow 3X faster than total workforce growth. The on-demand workforce grew 23% in 2017 driven by Uber, Airbnb, Etsy, Upwork, and Doordash.
Transportation: People are buying fewer cars, keeping them longer, and shifting transportation spend to rideshare, which saw rides double in 2017.
Enterprise: Consumerization of the enterprise through better interfaces is spurring growth for companies like Dropbox and Slack.
China: Alibaba is expanding beyond China with strong gross merchandise volume, though Amazon still rules in revenue.
Privacy: China has a big opportunity as users there are much more willing to trade their personal data for product benefits than U.S. users, and China is claiming more spots on the top 20 internet company list while making big investments in AI.
Immigration: It is critical to a strong economy, as 56% of top U.S. companies were founded by a first- or second-generation immigrant.
So to summarize:
Half the world’s population will be on the Internet by the end of the year, but smartphone shipments are slowing.
Voice interfaces are a small but growing minority, while tech investment is at an all-time high.
E-commerce is creaming brick and mortar, leaving traditional retailing pockmarks across the American retail landscape.
Amazon is the king of the e-commerce jungle, and Google may ought to be worried considering that more people start product searches on Amazon now than on search engines.
People are more willing to pay for subscriptions now, which is a good thing, because the privacy police around the world are questioning whether the trade-off for personal information is worth the cost to consumers (and elections) of “free” services like Facebook.
Aautomobile manufacturers had better pivot and quick, because people are buying fewer cars, keeping them longer, and increasingly willing to use ridesharing services.
Which is good for all those millions of folks now focused on making their living via the so-called “gig” economy.
In short, less phones, more Amazon, no privacy, and lots and lots of low-paying freelance gigs.
Big Study On Big Data
Perfect timing.
In advance of IBM’s massive event next week in Las Vegas featuring all things information management, Information On Demand 2012, IBM and the Saïd Business School at the University of Oxford today released a study on Big Data.

According to a new global report from IBM and the Said Business School at the University of Oxford, less than half of the organizations engaged in active Big Data initiatives are currently analyzing external sources of data, like social media.
The headline: Most Big Data initiatives currently being deployed by organizations are aimed at improving the customer experience, yet less than half of the organizations involved in active Big Data initiatives are currently collecting and analyzing external sources of data, like social media.
One reason: Many organizations are struggling to address and manage the uncertainty inherent within certain types of data, such as the weather, the economy, or the sentiment and truthfulness of people expressed on social networks.
Another? Social media and other external data sources are being underutilized due to the skills gap. Having the advanced capabilities required to analyze unstructured data — data that does not fit in traditional databases such as text, sensor data, geospatial data, audio, images and video — as well as streaming data remains a major challenge for most organizations.
The new report, entitled “Analytics: The real-world use of Big Data,” is based on a global survey of 1,144 business and IT professionals from 95 countries and 26 industries. The report provides a global snapshot of how organizations today view Big Data, how they are building essential capabilities to tackle Big Data and to what extent they are currently engaged in using Big Data to benefit their business.
Only 25 percent of the survey respondents say they have the required capabilities to analyze highly unstructured data — a major inhibitor to getting the most value from Big Data.
The increasing business opportunities and benefits of Big Data are clear. Nearly two-thirds (63 percent) of the survey respondents report that using information, including Big Data, and analytics is creating a competitive advantage for their organizations. This is a 70 percent increase from the 37 percent who cited a competitive advantage in a 2010 IBM study.
Big Data Drivers and Adoption
In addition to customer-centric outcomes, which half (49 percent) of the respondents identified as a top priority, early applications of Big Data are addressing other functional objectives.
Nearly one-fifth (18 percent) cited optimizing operations as a primary objective. Other Big Data applications are focused on risk and financial management (15 percent), enabling new business models (14 percent) and employee collaboration (4 percent).
Three-quarters (76 percent) of the respondents are currently engaged in Big Data development efforts, but the report confirms that the majority (47 percent) are still in the early planning stages.
However, 28 percent are developing pilot projects or have already implemented two or more Big Data solutions at scale. Nearly one quarter (24 percent) of the respondents have not initiated Big Data activities, and are still studying how Big Data will benefit their organizations.
Sources of Big Data
More than half of the survey respondents reported internal data as the primary source of Big Data within their organizations. This suggests that companies are taking a pragmatic approach to Big Data, and also that there is tremendous untapped value still locked away in these internal systems.
Internal data is the most mature, well-understood data available to organizations. The data has been collected, integrated, structured and standardized through years of enterprise resource planning, master data management, business intelligence and other related work.
By applying analytics, internal data extracted from customer transactions, interactions, events and emails can provide valuable insights.
Big Data Capabilities
Today, the majority of organizations engaged in Big Data activities start with analyzing structured data using core analytics capabilities, such as query and reporting (91 percent) and data mining (77 percent).
Two-thirds (67 percent) report using predictive modeling skills.
But Big Data also requires the capability to analyze semi-structured and unstructured data, including a variety of data types that may be entirely new for many organizations.
In more than half of the active Big Data efforts, respondents reported using advanced capabilities designed to analyze text in its natural state, such as the transcripts of call center conversations.
These analytics include the ability to interpret and understand the nuances of language, such as sentiment, slang and intentions. Such data can help companies, like a bank or telco provider, understand the current mood of a customer and gain valuable insights that can be immediately used to drive customer management strategies.
You can download and read the full study here.
Update: Also check out the new IBM Big Data Hub, a compendium of videos, blog posts, podcasts, white papers, and other useful assets centering on this big topic!