2016

Digital Attribution's Ladder of Awesomeness: Nine Critical Steps

Occam's Razor

Culture is a stronger determinant of success with data than anything else. Including data. People + Process + Structure] > [Data + Technology]. It seems hard to believe. Yet, it is so fantastically true. At least for now. At least until AGI takes over. Why is this formula material? The first part of the equation, for better or for worse, improves in an evolutionary manner. The second part of the equation most frequently improves in a revolutionary manner.

Practical advice for analysis of large, complex data sets

The Unofficial Google Data Science Blog

By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. Some people seemed to be naturally good at doing this kind of high quality data analysis. These engineers and analysts were often described as “careful” and “methodical”. But what do those adjectives actually mean?

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Visualizing Distributions

Darkhorse

There is a near infinite variety of visualization methods within our field. Santiago Ortiz’s article, 45 ways to communicate two quantiles , shows us a stunning expanse for just two numbers. FlowingData has given us 9 ways to visualize proportions and 11 ways for changes over time. Many charting taxonomies include distributions, but they only present a few options. Let’s remedy that with a post on the many.

Data analytics: on the way to value-based care

ScienceSoft

Now that Meaningful Use transforms into the value-based care delivery model, providers face a major challenge of adapting to the changes in how care delivery is organized, measured and reimbursed. No gilding any pills here, it is the ‘Do or Die’ dilemma. Find out how the healthcare data analytics can solve this dilemma

Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

How You Can Get Proactive About Margin Leaks Using the Pocket Price Waterfall

The Kini Group

How much price are you really keeping from each of your sales transactions? A percentage point lost here and there can add up to thousands – if not millions – of dollars of lost pricing revenue, which comes straight off the bottom-line. And all of this loss could be happening completely under the radar. Finding these leaks and making transactional pricing (and that means every single transaction) as profitable as possible is the key to increasing profitability in a big and noticeable way.

Sales 52

Ask Why! Finding motives, causes, and purpose in data science

Data Science and Beyond

Some people equate predictive modelling with data science, thinking that mastering various machine learning techniques is the key that unlocks the mysteries of the field. However, there is much more to data science than the What and How of predictive modelling. I recently gave a talk where I argued the importance of asking Why , touching on three different topics: stakeholder motives, cause-and-effect relationships, and finding a sense of purpose. A video of the talk is available below.

More Trending

Tableau Grows Up!

Rita Sallam

Everyone experiences rites of passage into adulthood. Sometimes it’s marriage, having a child, or just graduating from college where we mentally morph from idealistic, passionate, and carefree teenagers into responsible adults.

6 ways data is taking over retail

Information Builders

Today is National Book Lover’s Day, and the perfect opportunity to indulge your inner bookworm. According to a Huffington Post blog on the occasion, one of the best ways to celebrate is by giving the gift of reading and passing along a favorite book to others who might enjoy it. With that in mind, we asked some Information Builders colleagues for their best “data reads” and below is a sampling of their suggestions: read more

IT 63

Things to see while buying a Mutual Fund

MLWhiz

This is a post which deviates from my pattern fo blogs that I have wrote till now but I found that Finance also uses up a lot of Statistics. So it won’t be a far cry to put this on my blog here. I recently started investing in Mutual funds so thought of rersearching the area before going all in. Here is the result of some of my research

Blockchain And IoT: Not Ready For Primetime, But Now’s The Time To Start

Martha Bennett

Few would disagree that for IoT to live up to its promises, devices will sooner or later need to communicate directly, autonomously and securely with each other. Well-architected blockchain-based systems can help deliver those requirements, but they’re not available or even feasible today. In many ways, that’s a good thing, because it opens up great […]. chief information officer (CIO

IoT 40

Digital Trends Report 2020

As part of our goal to continue helping our community during these times, we wanted to share with you this critical data on the state of digital products across industries and provide context on how businesses are responding to the changing winds.

Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

Today's post comes from a source of deep pain. Analysis Ninjas are valued less than I would prefer for them to be. The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. I send it once a week, and it contains my insights and recommendations on those two topics. Like this blog, the newsletter is geared towards being instantly actionable (rather than just theory-smart, which is pretty cool too).

Next generation tools for data science

The Unofficial Google Data Science Blog

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. While MapReduce remains a fundamental tool, many interesting analyses require more than it can offer. For instance, the well-known Mantel-Haenszel estimator cannot be implemented in a single MapReduce.

Data Looks Better Naked: Maps Edition

Darkhorse

We've explored improving our bar charts , data tables , and pie charts – all with the maxim: remove to improve. In this new installment of our Data Looks Better Naked series, we take on maps. More specifically, the choropleth map. There are libraries with entire floors devoted to the art and science of cartography so, clearly, this animation is general advice for one specific type of map.

Retail trends 2016: bite-size takeaways from Retail Technology Show USA

ScienceSoft

Back from a visit to Retail Technology Show USA 2016, we compiled this year’s retail software development trends in one bite-size guide

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

Launch Your Next Sales Surge: 20 Tips to Improve Sales Performance

The Kini Group

Sales professionals have a tough job. They fight an uphill battle to hit their quotas. They have to fight for prospects just to answer the phone or an email. When they finally get a hold of leads, people tend to distrust them. Considering how difficult sales can be, it’s still a crucial cornerstone of every business. Your company’s sales performance has a major effect on profits, and setting your sales team up for success creates long-term profits.

Sales 52

Social Media Monitoring – Or Is It Surveillance?

Jenny Sussin

Over the last week, there have been a series of articles dumping on one particular social media monitoring application that was allegedly using an unethical value proposition to market its solution: surveillance. As one of Gartner’s social analytics analysts I’ve got to tell you, the tools that each vendor offers to the market could allow the exact same type of use.

3 Trends that are Changing the World of Data

In(tegrate) the Clouds

In my last post, I wrote about the new data integration requirements. In this post I wanted to share a few points made recently in a TDWI institute interview with SnapLogic founder and CEO Gaurav Dhillon when he was asked: What are some of the most interesting trends you’re seeing in the BI, analytics, and data warehousing space? There are three trends that I believe are fundamentally changing the world of data. The first is the shift to the cloud.

Two Acquisitions in Two Weeks!

Rita Sallam

It’s been an exciting two weeks in the world of BI! Just yesterday, Saleforce announced its intention to buy smart data discovery vendor, BeyondCore, a new Visionary entrant to this year’s BI and Analytics Magic Quadrant ! At the end of July, Workday announced its intention to acquire Platfora , one of the original Hadoop-based data discovery vendors and new to the Niche quadrant of the MQ. This closed on August 5 th. Here’s a quick look at how both will impact the market and customers.

Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

What the Algorithmic Economy Means to the Human Decision Maker

Information Builders

Today is National Book Lover’s Day, and the perfect opportunity to indulge your inner bookworm. According to a Huffington Post blog on the occasion, one of the best ways to celebrate is by giving the gift of reading and passing along a favorite book to others who might enjoy it. With that in mind, we asked some Information Builders colleagues for their best “data reads” and below is a sampling of their suggestions: read more

IT 60

Pandas For All - Some Basic Pandas Functions

MLWhiz

It has been quite a few days I have been working with Pandas and apparently I feel I have gotten quite good at it. Quite a Braggard I know) So thought about adding a post about Pandas usage here. I intend to make this post quite practical and since I find the pandas syntax quite self explanatory, I won’t be explaining much of the codes. Just the use cases and the code to achieve them

IT 40

Update Your Balanced Scorecard With Business Outcome And Agility Metrics

Martha Bennett

We’ve entered the age of the customer, where powerful customers are disrupting every industry. In response, companies will have to change how they develop, market, sell, and deliver products and services directly to their customers and through their partners. CIOs and their teams are crucial to these strategic responses and will have to track transformation […]. balanced scorecard business technology (BT) chief information officer (CIO

Five Key Elements For A Big Analytics Driven Business Impact

Occam's Razor

There is, almost literally, an unlimited number of things you could focus on to create a high impact data-influenced organization. And, as if unlimited is not enough, nearly every month your analytics vendors release new features, you discover new analytics solutions, and as your business is more successful (hurray!)

How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.

Statistics for Google Sheets

The Unofficial Google Data Science Blog

Editor's note: The Google Sheets add-on described in this blog post is no longer supported externally by Google. By STEVEN L. SCOTT Big data is new and exciting, but there are still lots of small data problems in the world. Many people who are just becoming aware that they need to work with data are finding that they lack the tools to do so. The statistics app for Google Sheets hopes to change that.

Own the Adoption

Darkhorse

How many times has this happened to you: You get to the end of a gruelling analytics project. You’ve tortured the data until it confessed. You’ve made a silk purse out of a sow’s ear. You’ve found the fountain of youth. Against all odds, you solved it and know without a doubt that you have the right answer. You are thrilled. All that effort was worthwhile. And then you present your results to the decision-maker and he disagrees. He questions the applicability of your data.

Patient engagement analytics: It’s measurable!

ScienceSoft

No more abstract patient engagement talks. Healthcare data analytics shows the way into transforming the level of patients' involvement in their health into a measurable value

A Merging of Minds: Finance and Sales Collaboration for Increased Profitability

The Kini Group

You’re sitting at your desk, reading an email from a colleague in the finance department: “We can’t approve the discount on the deal you’re trying to close. It’s too high and makes the deal margin too thin. Sorry. You’re going to have to backtrack on this one.” Frustrating, right? Meanwhile, that colleague is over at her desk, muttering to herself, “Why did he think that discount would be cleared? The point of sales is to make money, not lose it!

Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. We are excited to be joined by Leo Zhadanovsky, a Principal Solutions Architect at Amazon Web Services.

WhatsApp Removes Wall to Businesses – Businesses Pop Champagne

Jenny Sussin

Over the last week or so, there have been a lot of news articles flying around about WhatsApp being open for businesses and businesses are losing their collective minds with excitement. Before we get into WHY this is the reaction, let me explain what the status quo was before this announcement.

It’s Time to Rethink Integration

In(tegrate) the Clouds

Last week SnapLogic posted the company’s mission on their blog , which is focused on accelerating how enterprise integration technology is delivered in the enterprise. The company is growing rapidly and hiring. Here is the their mission statement: It’s time to rethink integration. Integrating data and applications with legacy products is slowing down your business. What you’re running now is no longer running fast enough for today’s business needs.

Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

There are pivot moments in life and in business where you just know – everything is about to change. Remember the first time you used the internet, email, a Mac, an ipod, iphone or ipad, or wore Reeboks? OK, I’m dating myself, but before Reeboks, we actually did what we is now call aerobics or cardio classes in bare feet on wood dance floors in ballet studios with leg warmers! Reeboks made it possible for aerobics classes to become main stream beyond its dancer beginnings.

Using Data Analytics To Improve Local Government in Massachusetts

TIBCO

With all of the technology available today, it would seem that data-driven government would be the norm rather than the exception. However, it doesn’t appear that local governments are taking advantage of massive amounts of data they collect to operate as efficiently and as effectively as possible–at least not in Massachusetts, according to Michael Ward , director of municipal services at the Collins Center for Public Management at UMass Boston.

Rethinking Information Governance In The Age of Unstructured Enterprise Data

Today’s organizations are faced with the overwhelming challenge of managing, finding, and leveraging their information. This eBook discusses a newly discovered information discipline and is filled to the brim with helpful information.