BI is no longer the domain of techies and data analysts. Many other departments other than IT are seeing the value of having better access to the information they need. View our infographic to see what the future of BI has in store.
A few years ago, Domo created a wildly-popular infographic that catalogued how much data is created by common web services every minute. Since the internet landscape changes so quickly, we thought it would be interesting to revisit the topic and see what’s changed, through the same ‘one minute’ lens. Enjoy!
Data enables business people to make smarter decisions, but at what cost? This infographic takes a look at the costs behind manual reporting and some of the results may be shocking. Check it out to see all the costs of data, where all the expenses are accumulating from, and how automating those processes could be a solution for you.
In every minute of every day, loads of data are being generated. Just how much, you ask? View this infographic to discover how many emails and tweets are sent, how many search queries Google receives, how many "likes" an organization gets on Facebook, and how many photos Instagram users share every minute.
Business leaders are demanding more and more of their BI. They're seeking ways to get data in a more timely manner, in more easily accessible ways, with better visualizations.
This infographic is based on a survey performed by Domo with results from BI and IT professionals who described their BI priorities and challenges. View the infographic to check out all the statistics.
Business Intelligence 101: Why Being "Data-Driven" MattersDomo
For those getting familiar with business intelligence and data, we created an infographic that explains the concepts and why your company should care. Check it out to learn more about the ins and outs of business intelligence.
The Wisdom of Crowds: Why The Group Is Smarter Than Its IndividualsDomo
Many of us feel that the individual is smarter than the group, but is this actually the case? Check out this infographic that explores how crowd wisdom works, and what conditions must be present to generate the extraordinary results groups can produce.
The research is there in black and white—business leaders need better data, and they’re willing to pay for it. Between the years 2011 and 2012, FICO reported a 15,000% increase in job postings for data scientists. In 2013, there were no fewer than 140,000 open positions for data scientists. The fact is, we need to get better insights from the data we already have. The status quo isn’t working, and data scientists are in the perfect spot to reap some awesome success. Check out the infographic to learn more.
A few years ago, Domo created a wildly-popular infographic that catalogued how much data is created by common web services every minute. Since the internet landscape changes so quickly, we thought it would be interesting to revisit the topic and see what’s changed, through the same ‘one minute’ lens. Enjoy!
Data enables business people to make smarter decisions, but at what cost? This infographic takes a look at the costs behind manual reporting and some of the results may be shocking. Check it out to see all the costs of data, where all the expenses are accumulating from, and how automating those processes could be a solution for you.
In every minute of every day, loads of data are being generated. Just how much, you ask? View this infographic to discover how many emails and tweets are sent, how many search queries Google receives, how many "likes" an organization gets on Facebook, and how many photos Instagram users share every minute.
Business leaders are demanding more and more of their BI. They're seeking ways to get data in a more timely manner, in more easily accessible ways, with better visualizations.
This infographic is based on a survey performed by Domo with results from BI and IT professionals who described their BI priorities and challenges. View the infographic to check out all the statistics.
Business Intelligence 101: Why Being "Data-Driven" MattersDomo
For those getting familiar with business intelligence and data, we created an infographic that explains the concepts and why your company should care. Check it out to learn more about the ins and outs of business intelligence.
The Wisdom of Crowds: Why The Group Is Smarter Than Its IndividualsDomo
Many of us feel that the individual is smarter than the group, but is this actually the case? Check out this infographic that explores how crowd wisdom works, and what conditions must be present to generate the extraordinary results groups can produce.
The research is there in black and white—business leaders need better data, and they’re willing to pay for it. Between the years 2011 and 2012, FICO reported a 15,000% increase in job postings for data scientists. In 2013, there were no fewer than 140,000 open positions for data scientists. The fact is, we need to get better insights from the data we already have. The status quo isn’t working, and data scientists are in the perfect spot to reap some awesome success. Check out the infographic to learn more.
What CEOs Should Know About Employee Engagement Domo
Do your employees enjoy their job? Better yet, do they care enough about the company to put their whole hearts into their work? We looked at the current state of employee engagement, the difference between satisfaction and engagement, how to recognize engagement, and why it should matter to business leaders. Check out this infographic to see what we discovered.
We researched a decade’s worth of data about the Global Fortune 500 to see how the Global F500 landscape has shifted over the past decade. The research showed that even though there’s been quite a bit of change due to globalization and innovation, much has stayed the same. For an interesting look at the data, check out our new infographic.
Today's organizations are dealing with an astronomical volume of information. Is your business capable of transforming all this "big" data into "this-actually-makes-my-business-better" data? Find out more about how much data we create annually by accessing our infographic.
Sales organizations everywhere can learn critical lessons from Billy Beane, the general manager of the low-budget, down-market Oakland A’s. Beane could see baseball executives were assigning value to the wrong attributes.
Here are five moneyball metrics that sales execs can’t afford to miss:
1. Pipeline Velocity
2. Winning Percentage
3. Closing Speed
4. Acquisition Cost
5. New Logos
What metrics are keeping your sales team from closing home runs? Check out this executive brief to find out.
Sensory Overload: How the Incredible Data Explosion Impacts Your Organization Domo
The explosion of data creation, known as Big Data, may be causing a sensory overload. But learning how to harness that Big Data has shown to be key for companies looking to gain a competitive edge on their competition. Check out the infographic to learn more about Big Data.
3 Reasons Why BI & Analytics Is The Top CFO InitiativeDomo
According to Gartner, 78% of CFOs have labeled BI and analytics as their top tech initiative for their departments—beating out even financial management applications. So what’s driving the CFO demand for BI and analytics? Take a look at this executive brief to find out.
What do Jeff Bezos, Meg Whitman and Steve Jobs have in common? According to a Harvard Business study released earlier this year, they are among the world’s 100 best-performing chief executives of all time. To find out what makes the greats great, we decided to take a look at what these 100 leaders have in common in the infographic below.
How much does it cost to make a sale? Many companies have data to answer this question, but how about the cost of all the time salespeople spend on administrative tasks? For the answer to this question and ideas on what to automate to keep your salespeople happy and increase efficiency with the sales team, view our infographic.
The average information worker spends nearly nine hours each week just looking for information. That’s almost two hours a day! What could you with an extra two hours?
Check out this infographic to see what Americans are saying they could do with an extra two hours a day.
How Business and IT Professionals View Business Intelligence Differently Domo
It’s no secret that business executives and IT professionals see the world differently—but it’s those differences that provide an important balance that keeps an organization moving forward smoothly and intelligently. Read our infographic to see what we found out about the differences between business executives and IT professionals when it comes to BI.
Tableau Drive는 셀프 서비스 분석을 확장하기 위한 방법론입니다. Drive는 성공적인 엔터프라이즈 배포 우수 사례를 기반으로 만들어졌습니다. Drive방법론은 주기가 긴 기존 배포에 비해 빠르고 효과적일 뿐만 아니라 반복적이며 대응력이 뛰어난 방법을 사용합니다. 이 접근 방식의 근본에는 비즈니스와 IT 간의 새로운 파트너쉽 모델이 있습니다.
Drive 방법론은 무료로 사용할 수 있습니다. 조직에 따라 직접 Drive를 실행할 수도 있고 Tableau Service 또는 Tableau 파트너에게 문의하여 전문가의 도움을 받을 수 있습니다.
As a marketer, you’re busy. We get it. You have a lot of priorities to juggle:
• How many leads are you bringing in?
• Which channels are providing the most leads?
• Is your budget running low?
• How are leads converting down the funnel?
• How can you get the most accurate measure of ROI?
At every turn, you need data—and lots of it. But in the past decade alone, marketers’ trouble with data has gone through a dramatic shift: instead of being too difficult to obtain, data is now too difficult to maintain.
In fact, IBM reports that 71% of CMOs feel unprepared to handle today’s “data explosion,” saying that “most CMOs are struggling in one vital respect—providing the numbers that demonstrate a return on investment (ROI) for marketing.”
This survey report reveals marketers’ troubles and successes with data, and it reveals important trends that are defining the data-driven marketer.
Data Wrangling on Hadoop - Olivier De Garrigues, Trifactahuguk
As Hadoop became mainstream, the need to simplify and speed up analytics processes grew rapidly. Data wrangling emerged as a necessary step in any analytical pipeline, and is often considered to be its crux, taking as much as 80% of an analyst's time. In this presentation we will discuss how data wrangling solutions can be leveraged to streamline, strengthen and improve data analytics initiatives on Hadoop, including use cases from Trifacta customers.
Bio: Olivier is EMEA Solutions Lead at Trifacta. He has 7 years experience in analytics with prior roles as technical lead for business analytics at Splunk and quantitative analyst at Accenture and Aon.
Forrester Report: The Total Economic Impact of DomoDomo
ROI matters. That’s why Domo commissioned Forrester Consulting, an independent research firm, to investigate the total economic impact of the Domo platform, highlighting the benefits of real-time business optimization. Here's a sneak peek at the benefits of using Domo uncovered from four in-depth customer interviews.
Women have a rich history in computer technology, yet many of the top tech-savvy females are seemingly forgotten from the history books.
Forgotten women in tech history shares the stories of a few of the most important women in the field of computer science, since its humble beginnings.
Proving that $1M in revenue doesn't always translate to 1M followers, The Social CEO Report shares the surprising social habits of Fortune 500 CEOs. See which Fortune 500 CEOs are the most social media savvy?
What CEOs Should Know About Employee Engagement Domo
Do your employees enjoy their job? Better yet, do they care enough about the company to put their whole hearts into their work? We looked at the current state of employee engagement, the difference between satisfaction and engagement, how to recognize engagement, and why it should matter to business leaders. Check out this infographic to see what we discovered.
We researched a decade’s worth of data about the Global Fortune 500 to see how the Global F500 landscape has shifted over the past decade. The research showed that even though there’s been quite a bit of change due to globalization and innovation, much has stayed the same. For an interesting look at the data, check out our new infographic.
Today's organizations are dealing with an astronomical volume of information. Is your business capable of transforming all this "big" data into "this-actually-makes-my-business-better" data? Find out more about how much data we create annually by accessing our infographic.
Sales organizations everywhere can learn critical lessons from Billy Beane, the general manager of the low-budget, down-market Oakland A’s. Beane could see baseball executives were assigning value to the wrong attributes.
Here are five moneyball metrics that sales execs can’t afford to miss:
1. Pipeline Velocity
2. Winning Percentage
3. Closing Speed
4. Acquisition Cost
5. New Logos
What metrics are keeping your sales team from closing home runs? Check out this executive brief to find out.
Sensory Overload: How the Incredible Data Explosion Impacts Your Organization Domo
The explosion of data creation, known as Big Data, may be causing a sensory overload. But learning how to harness that Big Data has shown to be key for companies looking to gain a competitive edge on their competition. Check out the infographic to learn more about Big Data.
3 Reasons Why BI & Analytics Is The Top CFO InitiativeDomo
According to Gartner, 78% of CFOs have labeled BI and analytics as their top tech initiative for their departments—beating out even financial management applications. So what’s driving the CFO demand for BI and analytics? Take a look at this executive brief to find out.
What do Jeff Bezos, Meg Whitman and Steve Jobs have in common? According to a Harvard Business study released earlier this year, they are among the world’s 100 best-performing chief executives of all time. To find out what makes the greats great, we decided to take a look at what these 100 leaders have in common in the infographic below.
How much does it cost to make a sale? Many companies have data to answer this question, but how about the cost of all the time salespeople spend on administrative tasks? For the answer to this question and ideas on what to automate to keep your salespeople happy and increase efficiency with the sales team, view our infographic.
The average information worker spends nearly nine hours each week just looking for information. That’s almost two hours a day! What could you with an extra two hours?
Check out this infographic to see what Americans are saying they could do with an extra two hours a day.
How Business and IT Professionals View Business Intelligence Differently Domo
It’s no secret that business executives and IT professionals see the world differently—but it’s those differences that provide an important balance that keeps an organization moving forward smoothly and intelligently. Read our infographic to see what we found out about the differences between business executives and IT professionals when it comes to BI.
Tableau Drive는 셀프 서비스 분석을 확장하기 위한 방법론입니다. Drive는 성공적인 엔터프라이즈 배포 우수 사례를 기반으로 만들어졌습니다. Drive방법론은 주기가 긴 기존 배포에 비해 빠르고 효과적일 뿐만 아니라 반복적이며 대응력이 뛰어난 방법을 사용합니다. 이 접근 방식의 근본에는 비즈니스와 IT 간의 새로운 파트너쉽 모델이 있습니다.
Drive 방법론은 무료로 사용할 수 있습니다. 조직에 따라 직접 Drive를 실행할 수도 있고 Tableau Service 또는 Tableau 파트너에게 문의하여 전문가의 도움을 받을 수 있습니다.
As a marketer, you’re busy. We get it. You have a lot of priorities to juggle:
• How many leads are you bringing in?
• Which channels are providing the most leads?
• Is your budget running low?
• How are leads converting down the funnel?
• How can you get the most accurate measure of ROI?
At every turn, you need data—and lots of it. But in the past decade alone, marketers’ trouble with data has gone through a dramatic shift: instead of being too difficult to obtain, data is now too difficult to maintain.
In fact, IBM reports that 71% of CMOs feel unprepared to handle today’s “data explosion,” saying that “most CMOs are struggling in one vital respect—providing the numbers that demonstrate a return on investment (ROI) for marketing.”
This survey report reveals marketers’ troubles and successes with data, and it reveals important trends that are defining the data-driven marketer.
Data Wrangling on Hadoop - Olivier De Garrigues, Trifactahuguk
As Hadoop became mainstream, the need to simplify and speed up analytics processes grew rapidly. Data wrangling emerged as a necessary step in any analytical pipeline, and is often considered to be its crux, taking as much as 80% of an analyst's time. In this presentation we will discuss how data wrangling solutions can be leveraged to streamline, strengthen and improve data analytics initiatives on Hadoop, including use cases from Trifacta customers.
Bio: Olivier is EMEA Solutions Lead at Trifacta. He has 7 years experience in analytics with prior roles as technical lead for business analytics at Splunk and quantitative analyst at Accenture and Aon.
Forrester Report: The Total Economic Impact of DomoDomo
ROI matters. That’s why Domo commissioned Forrester Consulting, an independent research firm, to investigate the total economic impact of the Domo platform, highlighting the benefits of real-time business optimization. Here's a sneak peek at the benefits of using Domo uncovered from four in-depth customer interviews.
Women have a rich history in computer technology, yet many of the top tech-savvy females are seemingly forgotten from the history books.
Forgotten women in tech history shares the stories of a few of the most important women in the field of computer science, since its humble beginnings.
Proving that $1M in revenue doesn't always translate to 1M followers, The Social CEO Report shares the surprising social habits of Fortune 500 CEOs. See which Fortune 500 CEOs are the most social media savvy?
Business Intelligence solutions are everywhere, yet ROI is still elusive. Modern BI solutions shouldn't leave it up to you to prove their value. Domo's cloud-based BI solution goes beyond buzzwords to offer incredible value right out-of-the-box.
Here's five things every best-in-class BI solution should offer:
1. Data access for everyone.
2. Simple business collaboration.
3. Pre-packaged best practices.
4. Automatic alerts.
5. Seamless mobile experience.
When sales leaders have real-time data at their fingertips, they’ll always be more efficient and successful. Whether it’s identifying opportunities, understanding who top performers are, validating forecasts, highlighting neglected opportunities, or developing talent, better and faster access to real-time data generates more revenue.
But running a data-driven sales org is not an easy task.
Domo polled more than 400 sales leaders and managers across a range of industries to understand their relationship with data. 73 percent of survey respondents said they would consume data more if they could see it one place, and 66 percent said they would consume data more if they could see it in real time.
The problem is, sales leaders often can’t access the data they need. It’s a company’s responsibility to turn data-hungry sales pros into data-driven selling machines. Every minute a sales rep spends creating or analyzing reports takes time away from prospects and customers. Non sales activities are killers in terms of nailing your number.
How Rockstar Executives Run Effective MeetingsDomo
8 Meeting Hacks from Rockstar Executives for More Effective Meetings:
Ever wonder how to run effective meetings?
Take these 8 tips from the world's most innovative executives for more effective meetings and a healthier company culture.
Including tips from: Sheryl Sandberg (FACEBOOK), Elon Musk (TESLA), Steve Jobs (APPLE), Marissa Mayer (YAHOO), Larry Page (GOOGLE), Mark Parker (NIKE), Alfred Sloan (GM), and Jeff Bezos (AMAZON)
Want to end the flood of emails, attachments and powerpoints?
Visit http://domo.com and step up to the world's first business management platform.
How Big Data Could Save The Government $500 Billion Domo
With an unending list of worthwhile projects to fund and initiatives to engage in, the government faces constant pressure to operate more efficiently. In a recent survey of 150 federal IT executives, 69% pointed to big data as a way to increase efficiency, enable smarter decisions, deepen insights, and save up to $500 billion across the federal government. So what could the US federal government do with an extra $500 billion? Read the infographic to find out.
4 Steps to Creating an Effective Sales DashboardDomo
Sales executives deal with a daily barrage of data - forecast numbers, pipeline velocity, lead volume, territory effectiveness, win/loss reports. The biggest challenge is figuring out how to consume the data and translate it into better decision-making. How is this accomplished? The answer for an increasing number of successful sales leaders is an effective sales dashboard.
Discussion Topics include:
· The Explosion of Sales and Marketing Data
· Key Metrics Sales Leaders are Tracking
· Lessons Learned from a Sales Veteran
· New Sales Dashboard Technologies
The C-Suite's Biggest Gripes about Data (And How to Fix It)Domo
Join Chris Wintermeyer, Chief Advocate at Domo, to better understand the challenges modern executives are having with data and reporting, and explore new technology that is changing the way the c-suite is unlocking insights with the data they already have.
Topics of discussion include:
• Most Common Data Frustrations
• How Data Is Reported vs. How Leaders Want Reports
• New Executive Reporting and Dashboard Technology
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.