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?

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.

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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.

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.

Data Analytics in the Cloud for Developers and Founders

Speaker: Javier Ramírez, Senior AWS Developer Advocate, AWS

You have lots of data, and you are probably thinking of using the cloud to analyze it. But how will you move data into the cloud? In which format? How will you validate and prepare the data? What about streaming data? Can data scientists discover and use the data? Can business people create reports via drag and drop? Can operations monitor what’s going on? Will the data lake scale when you have twice as much data? Is your data secure? In this session, we address common pitfalls of building data lakes and show how AWS can help you manage data and analytics more efficiently.

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.

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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.

More Trending

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.

IT 56

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.

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.

IT 52

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.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

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.

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

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.

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.

Future-Proofing Your Information Governance Strategy

Speaker: Crystal Cao, Lindsey Simon & Lisa Ripley

Join Onna and experts from Quip, Airbnb, and Oracle for this live webinar as they dive into proactive data deletion policies, retention strategies, and legal hold practices that are essential to a modern enterprise information governance strategy.

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.

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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

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?

The New Data Integration Requirements

In(tegrate) the Clouds

This week SnapLogic posted a presentation of the 10 Modern Data Integration Platform Requirements on the company’s blog. They are: Application integration is done primarily through REST & SOAP services. Large-volume data integration is available to Hadoop-based data lakes or cloud-based data warehouses. Integration has to support the continuum of data velocities starting from batch all the way to continuous streams. Integration is event-based rather than clock-driven.

The North Star Playbook

Every product needs a North Star. In this guide, we will show you the metrics product managers need to tie product improvements to revenue impact. If you are looking for a more-focused, less-reactive way to work, this guide is for you.

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

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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.

Why Data Analytics is Set to Slay Corporate Silos in 2016

TIBCO

Silos, not the tall towers used for grain storage, but the pesky divisions and hierarchies that are rampant across many organizations and largely resistant to destruction.

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.

How to Choose the Best Embedded Analytics Solution to Modernize Your Application

If you are looking to modernize your application to improve competitiveness, then one of the quickest wins you can have is to embed sophisticated analytics that will wow your existing and prospective customers.

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

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.

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.

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?

Machine Learning for Builders: Tools, Trends, and Truths

Speaker: Rob De Feo, Startup Advocate at Amazon Web Services

Machine learning techniques are being applied to every industry, leveraging an increasing amount of data and ever faster compute. But that doesn’t mean machine learning techniques are a perfect fit for every situation (yet). So how can a startup harness machine learning for its own set of unique problems and solutions, and does it require a warehouse filled with PhDs to pull it off?

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

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.

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

B2B Pocket Playbook: End-to-End Guide to Sales Enablement

Sales enablement is the strategic process of providing sales teams with the content, guidance, and mentorship needed to engage targeted buyers. It’s all about equipping sales professionals with the tools they need to put their best-selling foot forward. And if sales teams want to continuously sell better -- and faster -- their sales enablement process must have a game-winning strategy. It's time for you to start selling smarter - and hitting your sales number - with the best B2B database in the market. Get started today.