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
Facebook has an incredible audience, 950 million strong and counting. This audience is immensely attractive to Brands and Marketers around the world. We've seen explosive growth in brand pages, types of advertising and other fun ways to monetize this audience. Increased investment in Facebook as an engagement/acquisition channel has translated into requests from CEOs, CMOs and other CxOs about the return on that investment.
Imagine you’re a budding chef. A data-curious one, of course, so you start by taking a set of foods (pizza, salad, spaghetti, etc.) and ask 10 friends how much of each they ate in the past day. Your goal: to find natural groups of foodies, so that you can better cater to each cluster’s tastes. For example, your fratboy friends might love wings and beer , your anime friends might love soba and sushi, your hipster friends probably dig tofu, and so on.
As we enter our second week of data collection for the third annual Wisdom of Crowds Business Intelligence Market Study ® - I thought I might share an early insight from data collected this far. Data collection continues until April 2, 2012. >>> Please click here to take the survey >> Please click here to take the survey <<< Thanks!!
Guest post written by Marc Maiffret Marc Maiffret is chief technology officer of BeyondTrust, which sells security and compliance software. Marc Maiffret Would you trust your sensitive corporate data in the hands of a stranger? Recent Amazon and Apple iCloud experiences tells us that cloud security across the board, needs to be enhanced, [.].
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.
Cisco has announced their intent to buy Meraki. Meraki provides wired/wireless LAN and security products all managed via the cloud. What does “managed via the cloud” mean? It means that the management server is in the cloud, rather than in the enterprise data center (see figure). The benefit of such an approach is ease of installation and management.
I’d like to start my first blog post with a small introduction. I come from a family of pilots and teachers. We enjoy technology and travel, and are naturally comfortable speaking to an audience.
A wise person said: "To guarantee success, spend 95% of your time defining the problem and 5% of the time solving it." I believe deeply in that quote. In my life I spend an extraordinary amount of time understanding the problem and attempting to define it clearly. As if by magic, I find that it is then much easier to find the optimal solution (or realize none exists!).
A wise person said: "To guarantee success, spend 95% of your time defining the problem and 5% of the time solving it." I believe deeply in that quote. In my life I spend an extraordinary amount of time understanding the problem and attempting to define it clearly. As if by magic, I find that it is then much easier to find the optimal solution (or realize none exists!).
We like to believe that all there is to digital marketing is to do some search engine optimization, send out an email blast every once in a while, get our agency to create a flash-heavy "brand experience" website, or slap together a mobile app in the corporate-approved shade of eggshell white. A small bang here, a big sizzle there, one big paid search campaign and … VICTORY!
I'm immensely excited about how completely mobile platforms impact our lives. Not just the hyper-fast access information and being able to call whomever you want wherever you are, but also in more fundamental ways around the globe by empowering farmers to get better rates for their crops, or helping children to learn in new ways, or making revolutions ever more efficient.
It is painfully heartbreaking to realize that a very small tiny number of people who have access to web analytics tools actually use them. I mean really use the tools. Ravage all the features. Exploit every possible button. Produce built-in visualization magic. Poke into the hidden crevices and discover exotic delights. Nourish yourself with the "info snacks" the tool's engineers and product managers cooked up.
I love this quote from Richard Branson: Complexity is your enemy. Any fool can make something complicated. It is hard to make something simple. Is there any place Mr. Branson's words are more relevant than our big data world ? I'm convinced that an important minor contributor to the business world being less data driven is the fact that we are not as awesome as we need to be when it comes to communicating clearly, logically and simply when it comes to presenting data.
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
It is the season to be predicting the future, but that is almost always a career-limiting move. So I'm not going to do that. It is a lot easier to predict the present. So I'm not going to do that either. Rather, I'm going to share a clump of realities/rules garnered from the present to help ready you for the predictable near future. Now here is the great part… if you follow these rules and act on these insights I believe you'll be significantly better prepared for the u
The single biggest mistake web analysts make is working without purpose. We work very hard. We torture SiteCatalyst. We send out a lot of data. Then we resend it again and again. And yet our work results in very little impact on the business in terms of action taken by company leaders. Why this sad state? Almost always we dive into the ocean of data first.
Privacy is a very important issue when it comes to digital. The way data is collected online and what happens to it is a much-scrutinized issue (and rightly so). Digital data collection is also exceedingly complex, perhaps a reflection of the organic nature, and subsequent explosion, of the internet. Hence even sophisticated users find it difficult to know everything, one can hardly expect normal digital users to know what's really happening.
A lot of digital analytics focuses on direct response (conversions, leads, etc.). But there is an additional valuable, and sexy, focus of our marketing we don't give enough analytical love: Branding! It is sad that we spend so little time on brand analysis, primarily because 1. there is such little accountability to brand marketing and 2. it is such a strategic part of any business.
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.
Is there anything in the analytics space that is so full of promise and hype and sexiness and possible awesomeness than "big data?" I don't think so. So what is big data really? No one quite knows. As I interpret it, big data is the collection of massive databases of structured and unstructured data. The data sources include traditional (now considered puny) sources like corporate ERP / CRM systems and non-traditional (massive) sources like every technical ping from every human or
Every Analysis Ninja knows that standard reports are lame. The lameness stems from the fact that they are created for everyone, stuffed with as much "stuff" as anyone might want and hence in the end satiate no one. Custom reports on the other hand are, well, hand crafted by you for a specific purpose with a set of guiding principles (" Acquisition, Behavior, Outcomes!
As I've gotten older I've come to appreciate the value of frameworks a lot more. When we are young, the answers to everything are simpler because, of course, we know everything. What metrics should I use? Use BR & CV. What digital marketing works? Definitely Y, do that. How can I improve my business? Simple, do A then B and you're done.
Imagine you have a sequence of snapshots from a day in Justin Bieber’s life, and you want to label each image with the activity it represents (eating, sleeping, driving, etc.). How can you do this? One way is to ignore the sequential nature of the snapshots, and build a per-image classifier. For example, given a month’s worth of labeled snapshots, you might learn that dark images taken at 6am tend to be about sleeping, images with lots of bright colors tend to be about dancing, images of cars ar
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.
It’s often easier to understand a chart than a table. So why is it still so hard to make a simple data graphic, and why am I still bombarded by mind-numbing reams of raw numbers ? (Yeah, I love ggplot2 to death. But sometimes I want a little more interaction, and sometimes all I want is to drag-and-drop and be done.). So I’ve been experimenting with a small, ggplot2-inspired d3 app.
Dear Friends , It's been a busy few months at Dresner Advisory Services and I wanted to bring you all up to date regarding our activities and achievements. Here are some highlights: New channels for our research: We're excited to announce the availability of our Business Intelligence market resea rch th rough Amazon.com , Barnes & Noble , and Apple iTunes.
Cisco launched their Connected Mobile solution today. What is it? In short, it is a method by which hotspot providers can advertise and deploy services to mobile devices before the device authenticates with the network and with little or no user action. Why should anyone care? Well, think about what you have to do to login to WiFi at a retailer, hotel, or airport.
As I mentioned on Monday , Gartner has launched the first and only Mobile Reference Architecture for enterprise IT organizations. The Mobile Reference Architecture is an integrated set of research that helps IT organizations make technology, infrastructure and policy decisions that support their mobile initiatives. The Mobile Solution Path provides a summary of the mobile reference architecture.
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.
Summary: Gartner has introduced the first and only Mobile Reference Architecture for enterprise IT organizations. The Mobile Reference Architecture is an integrated set of research that helps IT organizations make technology, infrastructure and policy decisions that support their mobile initiatives. The Mobile Reference Architecture will help IT organizations: Accelerate mobile solution deployment.
The Third Annual Wisdom of Crowds Business Intelligence Market Study ® is Now Out! Hello Folks! As many of you know, the third edition of the Wisdom of Crowds Business Intelligence Market Study ® is the culmination of five months of effort. The result is 94 pages of in-depth analysis and commentary - including over 70 charts and tables - providing a picture of the Business Intelligence market and how it's changing.
Deep into Data Analysis Hello Friends. Since our last posting, we've been busy sorting through data and have now begun the analysis and documentation phase for the 3rd annual Wisdom of Crowds Business Intelligence Market Study ® ! We expect to begin releasing the findings to enterprise licensees mid May and will distribute to qualified study participants during the month of June.
Hello Folks! We're only three weeks away from the end of data collection for the 3rd annual Wisdom of Crowds TM Business Intelligence Market Study. Data collection will end on April 2, 2012 at 5PM ET. So, if you have not yet completed a survey, please click on this link now! Here are some of the study demographics to date: Geographies : To date, the study has the largest contribution from North America with 56% and EMEA contributing 26%.
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?
Hello Folks! I am pleased to announce that the survey process for the 3rd annual Wisdom of Crowds Business Intelligence Market Study ® is now officially open for input! Like last year, you'll have an opportunity to evaluate your Business Intelligence software vendors on 32 essential criteria, plus a new "Integrity" measure. And, this year we've expanded the study to cover a wide range of important Business Intelligence issues, including Collaborative BI and Cloud BI.
Hello All! Respondents to our Wisdom of Crowds Business Intelligence Market Study ® are able to report on any BI vendor they like. However, we provide a list of vendors that they can select from, as well as an "other" option. Here's our current (updated) list of vendors for the upcoming study: Actuate Alteryx Arcplan Birst Datawatch Dimensional Insight Domo (Corda) Entrinsik Good Data IBM/Cognos/SPSS Infor Information Builders (IBI) IntuitiveBI Jackbe Jaspersoft Jedox/Palo Klipfolio LogiXML Lyza
Hello Folks and Happy New Year! A new year promises fresh beginnings and signals the advent of the next Wisdom of Crowds Business Intelligence Market Study ® cycle! Having started in earnest in 2010, this will be our third comprehensive study of the BI marketplace - and our most ambitious to date! We're in the process of developing and finalizing the survey instrument now and expect to start data collection within weeks.
After a terrific 3.5 year run at the highly disruptive and successful network security company Palo Alto Networks, I joined Nutanix as VP of Marketing exactly one month ago with great excitement and optimism about the opportunity we have to help enterprises reinvent their datacenters.
📌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