Digital Dashboards: Strategic & Tactical: Best Practices, Tips, Examples

Occam's Razor

I'm excited about the power of a well created dashboard. It is a thing of beauty and a source of immense joy. Oh, and of course a critical element for any company's path to glory. Dashboards are every where, we will look at a lot of them in this post and they are all digital. So let's start with one that you might not typically bump into. Here's a great dashboard, for the Museum of Art… take a minute to ponder it… Isn't it pretty awesome?

Home Depot reaches $17.5 million settlement over 2014 data breach

DataFloq

million settlement to resolve a multistate probe into a 2014 data breach where hackers accessed payment card data belonging to 40 million customers. stemmed from a breach between April 10, 2014, and Sept. 13, 2014, affecting customers who used self-checkout terminals at its U.S.

IT 194
Insiders

Sign Up for our Newsletter

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

Digital Design & User Experience Best Practices: Happiness + Profits!

Occam's Razor

In 2014 those numbers are 5:46 for digital and 4:28 on TV. In early 2014 that number is 2 hours and 51 minutes! In 2014. It is 2014 after all. It is 2014. We have more data than God wants anyone to have. We have more talent deployed than was ever true in history. We have more money being pumped into our ecosystem than ever before. We have our senior leadership involved like never before. Yet the end result of all that is so far away from where it should be.

Excellent Analytics Tip #26: Every Critical Metric Should Have A BFF!

Occam's Razor

There is unlimited amount of data thrown off our digital existences. (Or Or to use sexy term du jour , we have big data!). Our leaders (companies, agencies, teams) have to deal with an incredibly complex landscape, and they don't have enough time. The very natural outcomes is this ask of us: "Can you make it simple? What's the one thing I should care about?" " And we oblige: "Conversion Rate, that's it."

Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Nothing I can tell you about the importance of having an incredible mobile strategy will surprise you. Mobile devices (phones, tablets, wearables) are transforming how we behave, how we buy, how we consume content, and dare I say how we become happy or we become sad.

Best Metrics For Digital Marketing: Rock Your Own And Rent Strategies

Occam's Razor

In a world of infinite choice, the ability to pick critical few metrics to focus on is, well…, critical. It is the difference between plodding along, or winning big. But choosing what to focus on is extremely hard. You have to have a deeper understanding of the business, an expansive knowledge of what is possible (and not just inside Google/Adobe Analytics), and, this is so, so, so important, the ability to balance the now and the near future.

Smart Dashboard Modules: Insightful Dimensions And Best Metrics

Occam's Razor

My last post, perhaps provocatively, called for a reduction of data in executive dashboards (digital, online, offline). More English (IABI, specifically) would lead to a smarter understanding of performance, and of course glory for data practitioners. Here's the post: Strategic & Tactical Dashboards: Best Practices, Examples. In the post Adil commented that he's observed that attribution modeling is missing from most web analytics dashboards.

YouTube Marketing And Analytics: A Primer For Magnificent Success

Occam's Razor

YouTube is magnificent. YouTube is amazing. YouTube is… wait, let me quantify that. YouTube Marketing and Analytics Framework for Success. According to Nielsen, YouTube reaches more US adults ages 18-34 than any cable network as of mid-2013. And rather than just being content you watch, it is content you watch, share and shape. How cool is that! As of March 2013, one billion, (B!), people around the world watch seven billion (still B!) hours of YouTube every month. How crazy big is that!

7 Data Presentation Tips: Think, Focus, Simplify, Calibrate, Visualize++

Occam's Razor

There are three elements to our "big data" efforts, or unhyped normal data efforts: Data Collection, Data Reporting, and Data Analysis. More on that here: DC-DR-DA: A Simple Framework For Smarter Decisions.). We are all aware that the best companies in the world have an optimal DC-DR-DA allocation when it comes to time/money/people: 15%-20%-65%. All well and good. But there is one crucial part we often don't invest in sufficiently. The last mile. Data presentation!

Dear Avinash: Your Digital Marketing + Analytics Challenges Answered

Occam's Razor

Every once in a while I take a pause and answer your questions, your burning questions (!), about digital marketing and analytics. I'd requested you to submit questions on my Facebook or Google+ pages and am always delighted at the wide range of challenges you share. For some answers, What is Avinash's typical day like? Hour-by-hour report please. :)? , you'll have to wait for my biography (thanks for asking Simo Ahava!).

Salvaging the Pie

Darkhorse

The poor, maligned 3D pie chart. He is so popular among the common folk, but put him next to his peers and his vacant stare betrays (not entirely unfounded) feelings of insecurity and inadequacy. Sometimes the only way to address such feelings is to let go of your inhibitions and do something unexpected. He has value hidden away, we're sure of it.

IT 88

Data Visualization Inspiration: Analysis To Insights To Action, Faster!

Occam's Razor

The graph below shows the predictions of what would have happened if aggressive intervention started in June 2014. Like a vast majority on planet Earth, I love data visualizations. Ok, so perhaps as the author of two bestselling books on analytics I love it a little bit more! There is something magical about taking an incredible amount of complexity and presenting it as simply as we possibly can with the goal of letting the cogently presented insight drive action. Magical.

Empowering Analysis Ninjas? 12 Signs To Identify A Data Driven Culture

Occam's Razor

Every indicator we have is that companies are investing more in every facet of analytics. Tools. People. Consulting. Processes. Yet, it is unclear if that increase in investment is being followed by a commensurate increase in value delivered to the organization's bottom-line. A part of reason for this mis-match in value delivered is that there is a natural evolution that needs to occur. There is an analytics ladder of awesomeness each company needs to climb, and it just takes time.

Dynamic KPI Threshold in Tabular or Power Pivot

Ms SQL Girl

I recently had an assignment to build a prototype for one of my clients, which involved in setting up KPIs. I then had a talk with a couple of people in my network to discuss how one could setup dynamic KPI thresholds. Narius Patel came up with a great idea of representing KPI status with image and using separate table to store the threshold values. Thanks Narius!) So, here’s my attempt of implementing it.

KPI 52

Merry Christmas With Power Map

Ms SQL Girl

ps: Yes, Power Map supports Geometry since September 2014. And here’s my chance to test it out before 2014 ends. It is Christmas Eve here in Australia now! I’d like to say thank you to all my readers, my twitter followers and most of all #SQLFamily (whom quite a few of them are now becoming my absolutely dear friends). This year has been truly a blast! Thank you for being part of my SQL and Data/BI journey.

Merry Christmas With Power Map

Ms SQL Girl

ps: Yes, Power Map supports Geometry since September 2014. And here’s my chance to test it out before 2014 ends. It is Christmas Eve here in Australia now! I’d like to say thank you to all my readers, my twitter followers and most of all #SQLFamily (whom quite a few of them are now becoming my absolutely dear friends). This year has been truly a blast! Thank you for being part of my SQL and Data/BI journey.

Market Diversity Creating Better Access for Midmarket Organizations

Wise Analytics

As I start some preparatory work for 2015 initiatives, I have noticed that many analytics vendors are starting to shift their views of SMBs and the needs of midmarket companies in general. When solution providers first started developing their market strategy and developing analytics related solutions for SMBs, their products took similar shape. They were less expensive, less robust, with a smaller number of relevant capabilities.

The rise of embedded Business Intelligence (BI)

Wise Analytics

As BI use matures within the organization, the way in which it is being applied is also changing. Organizations are looking for more strategic ways to deliver analytical insight and make sure that the right people have direct access to the information they need. Part of this includes the increasing adoption of embedding analytics within operations.

Four Predictions for 2014

Nutanix

Welcome to 2014! We’ve started the year with a bang. Your faith has been a big part of this watershed moment in the company’s history. Thank you for your unflinching support. As the new year begins, I’ll take the liberty to make some industry predictions, although I acknowledge how perilous it is to hold an imaginary crystal ball

IT 20

Driving Technology Projects The Right Way

Wise Analytics

Sometimes people get stuck in the weeds when evaluating technology projects by focusing on key features and product capabilities and not on solving business challenges. Although gathering both business and technical requirements are essential to any successful technology project, projects should start from a business perspective and based on a business pain being experienced. A common one might be lack of visibility into what is happening across the organization.

Dynamic KPI Threshold in Tabular or Power Pivot

Ms SQL Girl

I recently had an assignment to build a prototype for one of my clients, which involved in setting up KPIs. I then had a talk with a couple of people in my network to discuss how one could setup dynamic KPI thresholds. Narius Patel came up with a great idea of representing KPI status with image and using separate table to store the threshold values. Thanks Narius!) So, here’s my attempt of implementing it.

KPI 40

Moving beyond common SMB BI implementation knowledge challenges

Wise Analytics

Just over a week ago I attended the Enterprise Data & BI Conference Europe in London. The conference focused on many different BI and data management related topics, many of which support mid-market goals to achieve greater visibility and better analytics. The takeaway most interesting to me was the fact that many SMBs are still struggling with their BI implementations. Many are either starting from scratch or trying to figure out how to expand their traditional BI implementations.

Leverage The Convergence Of BI And Big Data In 2015 – Or Miss Out

Martha Bennett

Big data – the Holy Grail of business intelligence (BI)? Big data technologies certainly hold the promise of closing the gap between the data that’s available in your organization, and the ability to make that data available to those who need it, when they need it. But it’s about more than just technology: you also […]. application development & delivery big data business intelligence prediction predictive analytics

Understanding Business Requirements Are Essential For Analytics Projects

Wise Analytics

Analytics projects and the associated data preparation, storage, and management require continual effort. Sometimes mid-market organizations have a good sense of what they want to achieve and how they need to get there, but overlook the value of gathering in-depth business and technical requirements before diving into software and hardware selection.

Risk 40

Increasing Importance of Governed Data Access

Wise Analytics

More solution providers are starting to integrate the concept of governed data discovery into their product offerings. After years of trying to adopt data governance initiatives as part of a larger data management framework within organizations, software vendors are integrating similar capabilities into their solutions. The reality, however, isn’t as simple.

Exploring Vowpal Wabbit with the Avazu Clickthrough Prediction Challenge

MLWhiz

In online advertising, click-through rate (CTR) is a very important metric for evaluating ad performance. As a result, click prediction systems are essential and widely used for sponsored search and real-time bidding. For this competition, we have provided 11 days worth of Avazu data to build and test prediction models. Can you find a strategy that beats standard classification algorithms? The winning models from this competition will be released under an open-source license

Governed data discovery – looking at the importance of managing data validity

Wise Analytics

The role of governed data discovery is becoming increasingly important as organizations manage more complex and diverse data that they want to gain insights from. Self-service BI access and broader data discovery capabilities means that BI is deployed to more users who leverage data in the way that best suits them and not according to pre-defined analytics. Being able to trust this data is essential as it is one of the main ways to guarantee information validity and correct results.

The importance of BI specific skill sets

Wise Analytics

BI implementations are becoming more commonplace as organizations realize they cannot overlook the management of and access to their data in order to facilitate better decision-making. What this means for many is the re-evaluation of resources, skill sets, and project planning to ensure that the proper resources exist to support BI and analytics development. Unfortunately, many businesses overlook the fact that IT development expertise does not equal BI savvy.

Why are organizations still struggling with their data?

Wise Analytics

This is a question I’ve been asking myself for a while. The data infrastructure exists to support Big Data, operational data streams, data quality practices, and the list goes on. Best practices exist for organizations to follow to achieve a strong information management framework and tie data to business processes enabling decision makers the ability to take actions on the insights they’ve gleaned.

Data Science 101 : Playing with Scraping in Python

MLWhiz

This is a simple illustration of using Pattern Module to scrape web data using Python. We will be scraping the data from imdb for the top TV Series along with their ratings We will be using this link for this: [link] This URL gives a list of top Rated TV Series which have number of votes atleast 5000. The Thing to note in this URL is the “&start=” parameter where we can specify which review should the list begin with

Dictvectorizer for One Hot Encoding of Categorical Data

MLWhiz

THE PROBLEM: Recently I was working on the Criteo Advertising Competition on Kaggle. The competition was a classification problem which basically involved predicting the click through rates based on several features provided in the train data. Seeing the size of the data (11 GB Train), I felt that going with Vowpal Wabbit might be a better option. But after getting to an CV error of.47 on the Kaggle LB and being stuck there , I felt the need to go back to Scikit learn

Learning pyspark – Installation – Part 1

MLWhiz

This is part one of a learning series of pyspark, which is a python binding to the spark program written in Scala. The installation is pretty simple. These steps were done on Mac OS Mavericks but should work for Linux too. Here are the steps for the installation: 1. Download the Binaries: Spark : [link] Scala : [link] Dont use Latest Version of Scala, Use Scala 2.10.x Add these lines to your

40

Hadoop, Mapreduce and More – Part 1

MLWhiz

It has been some time since I was stalling learning Hadoop. Finally got some free time and realized that Hadoop may not be so difficult after all. What I understood finally is that Hadoop is basically comprised of 3 elements: A File System Map – Reduce Its many individual Components. Let’s go through each of them one by one. Hadoop as a File System: One of the main things that Hadoop provides is cheap data storage

IT 40

Propensity Modeling, Causal Inference, and Discovering Drivers of Growth

Edwin Chen

For example, our training set might consist of a set of people, some of whom ordered Soylent in the first week of March 2014, and we would train the classifier to model which users become the Soylent users. Imagine you just started a job at a new company. You watched World War Z recently, so you're in a skeptical mood, and given that your last two startups failed from what you believe to be a lack of data, you're giving everything an extra critical eye.

Moving Beyond CTR: Better Recommendations Through Human Evaluation

Edwin Chen

Imagine you're building a recommendation algorithm for your new online site. How do you measure its quality, to make sure that it's sending users relevant and personalized content? Click-through rate may be your initial hope…but after a bit of thought, it's not clear that it's the best metric after all. Take Google's search engine. In many cases, improving the quality of search results will decrease CTR! For example, the ideal scenario for queries like When was Barack Obama born?

Win, Serve And Retain Customers With 15 Customer Analytics Methods

Srividya Sridharan

Customer analytics takes center stage in the age of the customer for firms trying to understand and predict customer behavior. From descriptive to predictive methods, customer insights (CI) professionals can apply a wide array of analytics methods to behavioral customer data. CI professionals have a lot to consider when deciding on the right portfolio of […]. customer insights

Dresner’s Point: Ready for the “2014ization” of Business Intelligence?

Howard Dresner

What is your organization planning to try to achieve in 2014? Will it have legs in 2014, I asked? Here at Dresner Advisory Services we’ll publish a report on our first Wisdom of Crowds® Market Study on Location Intelligence in February 2014. I’d love to know what plans and aspirations your company has for 2014. I don’t like making predictions, so rest assured this is not another of a myriad of predictions articles that hit the media annually.

Have you Opened Your Business Intelligence Treasure Chest?

Howard Dresner

November 2, 2014 It happened so fast …. With one foot in the trap, it looked like he had utterly failed in his mission. … It all started nineteen years earlier when …. Everyone likes a good story. Especially marketing teams in today’s leading businesses. They know that effective storytelling enhances brand and knocks down barriers to sales. Similarly, it’s becoming a powerful way to distribute data and information in business intelligence initiatives.

The 2014 Nutanix Technology Champions (NTC)

Nutanix

I am honored to report that we received over 80 detailed Nutanix Technology Professionals (NTC) Program applications

Get XCited for Dell World Austin 2014!

Nutanix

There’s no question that enterprise application usability has for the most part been left behind

Product Insights for Airbnb

Edwin Chen

I love studying users and products, and think data science can be extremely useful in guiding product/strategy as a whole. So I thought it would be fun to depart from the usual machine learning and engineering things I write about, and do a quick study of Airbnb. Think of this like business analysis, or strategy – from a data science point of view. It's in slide deck form , of course, because that's how these things roll

Dresner’s Point: Don’t Overlook the Zigzagging of Collaboration & Text Analytics

Howard Dresner

In fact, text analytics had a strong showing in the #BIWisdom group’s plans and aspirations for 2014. Missed the boat. Didn’t gather enough steam. All that glitters isn’t gold. These pronouncements are often the verdict when technology evolves quickly and some functionalities or features don’t grab a strong enough hold quickly enough in the market.

When Small is More

Darkhorse

We've done a few critique/redesigns of graphics on the site, but now its time to shine that sometimes unflattering light back on ourselves. While going through some materials I came across a graphic much like this one. The chart is clean, with axes lightened so the data is in the foreground, and the series direct labelled. Unfortunately it is not very effective at conveying much beyond "There is lots of pillaging."

IT 40