This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
'This I Believe was one of my favorite NPR programs. It's raison d'être : "Americans from all walks of life share the personal philosophies and core values that guide their daily lives." In honor of that spirit, I'll take a step away from our mutual obsession with marketing and analytics and share with you the philosophies and values that guide me when I go to work every day.
A participant in one of my Friday #BIWisdom tweetchats observed that “in the mobile ecosystem, Big Data + social + the NSA data surveillance news are a perfect storm.” Will the NSA storm change attitudes regarding mobile BI and thus hinder its growth? It’s a good question and it sparked an interesting discussion in our Twitter group. Before the perfect storm, our tweetchat tribe (comprised of customers, vendors and consultants/analysts) were of the opinion that the growing “app” mentality for “c
By Stephanie Tilenius, an executive in residence at Kleiner Perkins Caufield & Byers. With a big assist from technology, Americans are driving a major transformation of the nation’s health care system. Recent years have brought us the passage of the Affordable Care Act, technology advances in sensors and devices, cheaper personal [.].
Last year, we published The State of Customer Analytics 2012 (subscription required) based on the results of our annual customer analytics adoption survey where we uncovered key trends of how customer analytics practitioners use and adopt various advanced analytics across the customer lifecycle and highlighted challenges and drivers associated with customer analytics.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Although there is currently no pressing need to move from BlackBerry to other mobile platforms, employee pressure to use more “modern and cool” devices, the trend of consumerization and BlackBerry’s recent problems have combined to force scenarios in which a growing number of IT departments are evaluating alternative platforms. This trend causes many enterprises to ask the question “How do I migrate from BlackBerry to an alternative platform?
(This is a post from the Twitter Engineering Blog that I wrote with Alpa Jain.). One of the magical things about Twitter is that it opens a window to the world in real-time. An event happens, and just seconds later, it’s shared for people across the planet to see. Consider, for example, what happened when Flight 1549 crashed in the Hudson. [link] - There’s a plane in the Hudson.
(This is a post from the Twitter Engineering Blog that I wrote with Alpa Jain.). One of the magical things about Twitter is that it opens a window to the world in real-time. An event happens, and just seconds later, it’s shared for people across the planet to see. Consider, for example, what happened when Flight 1549 crashed in the Hudson. [link] - There’s a plane in the Hudson.
'The most common mistakes digital practitioners and leaders make is to either do things in the wrong order, or to try and do too much at one time. Progress in digital marketing and analytics in either scenario becomes painful (the organization / systems / thinking is simply not in the optimal position). People become frustrated (you hire smart people, they run off to build you the Taj Mahal, meanwhile you don't have a functioning toilet).
We are surrounded by incredible digital experiences. Masterful design, branding and marketing. Yet, it would be fair to say we are also drowning in awful digital experiences – or, at the very minimum, experiences that seem to be stuck in 1991. As a Digital Marketing Evangelist you can imagine how much that pains me. When I work with companies, I do my very best to bring my deep and undying passion for creativity and digital awesomeness to them.
'The world does not need a new business framework. I get "About 269,000,000 results (0.25 seconds)" for business framework on Google today. But most of the frameworks available to us solve for divisional silos. For example AIDA is from the siloed lens of Marketing (and full disclosure, I humbly believe serves company's own selfish perspective).
'There are few things more complicated in analytics (all analytics, big data and huge data!) than multi-channel attribution modeling. We have fought valiant battles, paid expensive consultants, purchased a crazy amount of software, and achieved an implementation high that is quickly, followed by a " gosh darn it where is my return on investment from all this?
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
In the coming year, based on current announcements , Google Analytics is set to go through an almost unprecedented amount of evolution. My postulation is that by this time next year the tool will be almost unrecognizable. [My favorite is Visitor Analytics, and visitor level segmentation that will be pervasive throughout the product. This is insanely cool.].
'This should not be news to you. To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. Online, offline or nonline. Yet this structure rarely exists in companies. We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago.
'Two things I love a lot: 1. Frameworks, because if I can teach someone a new mental model, a different way of thinking, they can be incredibly successful. 2. Visuals, because if I can paint a simple picture about something complex it means I understand it and in turn I can explain it to others. This post is at the intersection of those two lovely things.
'In late 2011, Google announced an effort to make search behavior more secure. Logged-in users were switched to using httpS from http. This encrypted their search queries from any prying eyes, and kept from being passed on to websites the users visits after seeing search results. This led to the problem we, Marketers, SEOs, Analysts, fondly refer to as not provided.
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
'My love for segmentation knows no bounds. Weather you do online, offline, nonline analysis, or just randomly playing with data, insights arrive faster with segmentation. In fact I've gone so far as to say: "All data in aggregate is crap." That's certainly a bit melodramatic, but beyond the most bare bones "ahh, I see something is happening" you are unable to get anywhere with aggregate data.
Web Analytics tools have become pretty feature rich, and the future promises to bring even more goodies ( Universal Analytics anyone?). But these features bring with them new problems that we hadn't imagined before. Mostly because the limitations in the tools meant we were unable to make these mistakes. Today's post is about a new problem I'm starting to notice, which only exists because our tools have become so much cooler and handed us so much power: constant mismatching of hit-
Analysts: Put up or shut up time! This blog is centered around creating incredible digital experiences powered by qualitative and quantitative data insights. Every post is about unleashing the power of digital analytics (the potent combination of data, systems, software and people). But we've never stopped to consider this question: What is the return on investment (ROI) of digital analytics?
'Everyone likes chasing big shiny objects all the time. What's not to like. They are big. They are shiny. :). But a lot of progress in life comes from doing the everyday small things better. A small improvement, every single day, to move the ball a little more forward. A best practice I've developed is to take a step back and reflect on if I have a good balance between chasing shiny objects and making incremental progress on small every day things.
GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
'The art of analysis often fails to deliver ginarmous success simply because of how limited our worldview is when we go about identifying bottom-line impacting insights. Hence, this is a post on a simple concept that will drag you out of your current "what is happening on my website?" comfort zone, and out of your Google Analytics, Site Catalyst, WebTrends worldview silo.
'Would you believe me when I say that your digital analytics data, from Google Analytics or WebTrends et. al., might be hindering your ability to make some important strategic decisions? Would you believe me if I said that even leveraging cool features like custom reporting and smart advanced segments might be insufficient in some cases? Perhaps you are skeptical.
I guess Black Friday, January sales and constant reminders of how many shopping days are left before Christmas weren’t enough enough to entice shoppers to hit the stores early and often enough in the holiday season. Now we even have Pre-Black Friday and Green Monday. These seductive tactics to entice people with something “special” reminded me of a discussion we had at one my Friday #BIWisdom tweetchats.
What are your views on Mobile Business Intelligence? Data collection has begun for our 5th annual Wisdom of Crowds® Mobile Business Intelligence Market Study and we'd really value your input! Click here to be directed to the survey! Here are a few important reasons to participate: 1) Your participation supports a modern and wholly objective approach to industry research AND participants will receive a complimentary research report. 2) You get to weigh in and rate your Mobile Business Intelligenc
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Newsletter from Dresner Advisory Services As we approach the final 3rd of 2013, we thought you might appreciate an update and progress report from Dresner Advisory Services. It's been an especially busy year for us and we're pleased with what we've achieved and excited by what lies ahead. Here are some highlights from this year: Our Website: We've reorganized our website dresneradvisory.com and made it much more useful and accessible.
Dear Friends, Since last year I began supporting a new Business Intelligence blog on the Sandhill.com website , called "Dresner's Point". Each week (or so) I'll post my synthesis and commentary on the previous week's #BIWisdom Tweetchat. If you're not familiar with our weekly TweetChat, it occurs on Friday's at 1PM ET. Each week I am joined by Business Intelligence and information management experts (e.g., providers, customers, vendors and other analysts) to discuss important topics related to B
The topic of how to increase user adoption of business intelligence technologies generated a lot of opinions in a recent Friday #BIWisdom tweetchat. The tweets started with opinions about what hampers user adoption. Some tweeted that the tangling of BI into the Big Data space causes confusion, it’s a mistake to try to get end users to adopt “analyst tools” and we must stop force-feeding generic analysis tools to end users even if they are “simple” to use.
At one of our recent Friday #BIWisdom tweetchats, we talked about the findings in our 2013 Wisdom of Crowds® Collaborative Business Intelligence Market Study, which led to an insightful conversation about why some organizations haven’t adopted collaborative BI technologies and why some adopted it but failed to achieve the anticipated value. We started with the group coming to an agreement as to what collaborative BI is.
Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Customer insights professionals have many customer analytics methods (sub's reqd) to choose from today to perform behavioral customer analysis, and new techniques emerge as the complexity of customer data increases. Analysis of customer data involves the use of data-mining and statistical methods that span descriptive and predictive analytics. But how do you decide which customer analysis methods […].
August 15, 2013 Do you remember when you thought it was too risky to purchase something online? Remember when you held out for a while and didn’t immediately hop on board the bandwagon like others to enjoy the convenience of paying your bills via online banking? Or maybe you still haven’t taken those plunges. The same phenomenon is affecting some organizations’ entrée into cloud-delivered business intelligence.
Having just recently published our 2013 Wisdom of Crowds® Business Intelligence Market Study, the group attending one of my recent Friday #BIWisdom tweetchats on Twitter wanted more insights on several of the study’s findings. Of particular note was the fact that user penetration of BI solutions remains modest again this year, with 36 percent of respondents reporting less than 10 percent of users with access to BI.
I work for arguably the hottest infrastructure startup since the dawn of time (or Sun Microsystems, 30 years ago, or whatever), a company called Nutanix.
📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
We organize all of the trending information in your field so you don't have to. Join 42,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content