2014

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.

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.

IT 114

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Trending Sources

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.

IT 52

Propensity Modeling, Causal Inference, and Discovering Drivers of Growth

Edwin Chen

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.

Gartner Report - Introducing DataOps Into Your Data Management Discipline

Data teams are increasingly under pressure to deliver data to support a range of consumers and use cases. DataOps techniques can address the data delivery challenges through a more agile and collaborative approach to building and managing data pipelines.

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.

KPI 67

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.

More Trending

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

I don’t like making predictions, so rest assured this is not another of a myriad of predictions articles that hit the media annually. Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. A great place for an insightful, real-world view of BI trends is my weekly #BIWisdom tweetchats with BI customers, vendors and consultants. What is your organization planning to try to achieve in 2014?

Mark Brunstad joins Nutanix

Nutanix

20

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.

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.

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.

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

Occam's Razor

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.

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.

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.

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!

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.).

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

Occam's Razor

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.

Benchmarking Performance: Your Options, Dos, Don'ts and To-Die-Fors!

Occam's Razor

We are all blessed with more data than we know what to do with, and all for the price of a few lines of JavaScript added to your website. In this type of an environment, I've frequently stressed the value of identifying targets for your key performance indicators.

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.

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.

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.

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

Occam's Razor

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!

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?

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.

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.

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

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.

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.

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

The Rise of Embedded Self-Service Analytics

Speaker: Chris Von Simson & Nat Venkataraman

Can your users get the data and analytics they need without leaving your application? Watch this webinar with Chris von Simson of Dresner Advisory Services as he shares why user enablement has emerged as the theme in today’s embedded analytics landscape.

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.

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

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.

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

A Guide to Better Data Quality

Without high quality data that we can rely on, we cannot trust our data or launch powerful projects like personalization. In this white paper by Snowplow, you'll learn how to identify data quality problems and discover techniques for capturing complete, accurate data.