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?

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.

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.

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.

Sales 68

Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.

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

Installing Packages in SQL Server R Services

Ms SQL Girl

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. Read the official definition here.

What Is (and Isn’t) Product Management?

Speaker: Steve Johnson, VP of Products, Pragmatic Institute

Product Management is one of the most exciting - and most misunderstood - functions in technical organizations. Is it strategic or tactical? Is it a planning role or a support role? Many product professionals are unclear about what is (and isn't) product management. After all, product management spans many activities from business planning to market readiness. In this session, we’ll examine many product activities and artifacts for product strategy, planning, and growth, and introduce a simple tool that you can use in your organization to clarify the roles of product management and others. Steve Johnson explores the many roles of Product Management in this fun talk focused on why product managers should obsess on problems instead of solutions.

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.

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.

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.

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

Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

The 3rd annual Dresner 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. Learn about the core set of capabilities that make data catalogs critical for self-service analytics.

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.

Sales 67

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?

BI 52

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 Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

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

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.

Analyzing Tabular Model in Excel 2016

Ms SQL Girl

It’s been a long time since I wrote an article on Tabular Model. This week, one of my good readers, Andrew posted me a question.

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.

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

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.

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.

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?

Measure the Immeasurable: Beyond Vanity Metrics

Speaker: Sari Harrison, Product Management Instructor, Product School

As a product manager, it's your job to realize your product’s vision by executing your chosen strategy. It’s also your job to deliver value to the business. Ultimately, these two outcomes are aligned so the temptation is to focus primarily on business metrics. Doing this can cause you to lose focus on the real value you are trying to achieve, in favor of moving the vanity metrics such as launches and time spent. Join Sari Harrison, Product Management Instructor at Product School, as she explains how to use immeasurable success criteria along with your more standard KPIs to deliver products that don't just get used a lot, but deliver real value.

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.