Smart Data Collective

OCTOBER 8, 2019

While sports analytics is hardly a new idea, how it is being used in hockey has changed dramatically. Coaches no longer have to wait for newspapers to print out statistics. Fans are not left to wonder how their favorite players are truly excelling. What has brought about this change? Big data. Big data has taken all forms of sports analytics by storm, but we are only now really beginning to see what it can do for hockey.

Big Data 219

Big Data 219

BizAcuity

OCTOBER 7, 2019

With the IT shift to cloud and business shift to cloud-based data platforms, there is a growing increase in migration projects, which aim at migrating applications and data from a corporate data centre to a cloud platform. The migration may be mandatory because of a merger or acquisition, in which data from another organization has to be migrated to a new or existing environment, or because a business segment has been sold, which requires migration to storage elsewhere.

Data Warehouse 162

Data Warehouse Government Planning Monitoring 162

ElegantJ BI

OCTOBER 8, 2019

Augmented Analytics Benefits Include NLP for Easy Analysis! Everyone has heard the term ‘natural language processing or NLP. So, what is natural language processing, exactly, and how can it help your business? NLP allows a program or software to understand language as written/spoken by humans so that people can interact with a system without using long strings of code.

Data Discovery 130

Data Discovery Data Analytics Data Analytics Visualization 130

Analyst Catalyst Blog

OCTOBER 8, 2019

Cybersecurity 274

Cybersecurity Business Analysis Business Analysis 274

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Smart Data Collective

OCTOBER 11, 2019

There are a lot of ways that organizations can leverage big data. Most of them don’t have difficulty collecting the data they need to make more informed decisions. However, they often struggle to conceptualize the data and present it in a format that supports their conclusions. This is one of the areas where a business dashboard can be useful. Big data has made business dashboards possible.

Big Data 204

Big Data Monitoring Visualization Data Automation 204

ElegantJ BI

OCTOBER 8, 2019

Augmented Analytics Benefits Include NLP for Easy Analysis! Everyone has heard the term ‘natural language processing or NLP. So, what is natural language processing, exactly, and how can it help your business? NLP allows a program or software to understand language as written/spoken by humans so that people can interact with a system without using long strings of code.

Data Discovery 130

Data Discovery Data Analytics Data Analytics Visualization 130

Analyst Catalyst Blog

OCTOBER 10, 2019

Business Analysis 195

Business Analysis Business Analysis 195

Smart Data Collective

OCTOBER 7, 2019

Sinatra is a great web application library. It can be used to streamline development in Ruby and several other programming languages. A number of articles on Dzone have been written on using Sinatra to develop web applications and other solutions, but there didn’t appear to be an article on setting up Sinatra. We decided to provide a quick tutorial on this process.

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BizAcuity

OCTOBER 7, 2019

With the IT shift to cloud and business shift to cloud-based data platforms, there is a growing increase in migration projects, which aim at migrating applications and data from a corporate data centre to a cloud platform. The migration may be mandatory because of a merger or acquisition, in which data from another organization has to be migrated to a new or existing environment, or because a business segment has been sold, which requires migration to storage elsewhere.

Data Warehouse 100

Data Warehouse Government Planning Monitoring 100

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ElegantJ BI

OCTOBER 8, 2019

Augmented Analytics Benefits Include NLP for Easy Analysis! Everyone has heard the term ‘natural language processing or NLP. So, what is natural language processing, exactly, and how can it help your business? NLP allows a program or software to understand language as written/spoken by humans so that people can interact with a system without using long strings of code.

Data Discovery 130

Data Discovery Data Analytics Data Analytics Visualization 130

Analyst Catalyst Blog

OCTOBER 8, 2019

Cybersecurity 195

Cybersecurity Business Analysis Business Analysis 195

Userzoom

OCTOBER 10, 2019

When trying to understand customer behavior on your website, a true intent study can help you uncover your visitors’ intentions. This should help answer questions such as, “Why are they coming to the site?” and “What are they trying to do?” Web analytics solutions, such as Google Analytics, will provide statistics on web traffic including number of visitors, page views, bounce rates, where visitors are going etc, but does not answer the why question i.e., the purpos

Visualization 86

Visualization 86

Roman Pichler

OCTOBER 7, 2019

Before You Start Prioritising …. Before you order the roadmap items, double-check that you have a validated product strategy in place. You should be able to confidently say why users would want to use your product and why it is worthwhile for your company to invest in it. In other words, you should have valid answers to the following questions: Which user problem will the product solve, or which benefit will it provide?

User Experience 85

User Experience 85

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Juice Analytics

OCTOBER 7, 2019

With all the talk about Data Literacy (led by folks like @Ben Jones , @Jordan Morrow , @Valerie Logan ) and/or Data Fluency (?? @Dalton Ruer ), the time is right for a more rigorous methodology for understanding the audiences for data dialogue. Which got me thinking: What if there was a Myers Briggs -style personality type indicator for data personalities?

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Forrester - Business Intelligence

OCTOBER 10, 2019

We’ve seen the promise of what enhanced data, analytics, and AI capabilities can do for businesses, but firms are struggling to truly maximize their impact. Data and analytics leaders want to shift into high gear, but many factors are holding them back. One of the key issues that everyone is facing is finding and developing […].

Data Analytics 71

Data Analytics Data Analytics Data Mining Big Data 71

Sisense

OCTOBER 7, 2019

Blog. Humans losing jobs to robots has been the preoccupation of economists and sci-fi writers alike for almost 100 years. AI systems are the next perceived threat to human jobs, but which jobs? Sourcing the logic from numerous open source packages or paid API services, connecting disparate datasets, and maintaining a pipeline are complex tasks that AIs are ill-suited to do at present.

Artificial Intelligence 71

Artificial Intelligence Data Warehouse Monitoring Business Intelligence 71

Phocas

OCTOBER 8, 2019

In today’s dynamic marketplace, modern CEOs must operate from a new playbook. Resilience and the ability to quickly adapt to mercurial customer demands is the name of the game. Consequently, the modern CEO must have the tools to maintain a competitive advantage.

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Managed Agile

OCTOBER 8, 2019

This is an article on an Agile search engine optimization project I recently completed that illustrates how to apply Agile thinking to a non-software project. I’ve previously written other articles on applying Agile thinking and techniques to non-software projects (See Related Articles below). This is another article on an Agile Search Engine Optimization project I recently completed on this very website.

Agile 63

Agile Project Management User Experience 63

Data Pine

OCTOBER 10, 2019

If you want to convey crucial information to decision-makers in the easiest and most effective way possible, you need to embrace the power of interactive dashboards. A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data.

Retail 58

Retail Visualization Logistics Real-time Data 58

Sisense

OCTOBER 10, 2019

Blog. When “data engineer” first started becoming a vital role for tech companies, the world was a smaller, simpler place. Engineers were primarily concerned with handling data stored in Excel spreadsheets and on local machines. New tools were slowly introduced to deal with data as it grew in volume and complexity, but the overall landscape was largely unchanged until the rise of “The Cloud.

Data Warehouse 60

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 60

Domo

OCTOBER 9, 2019

When it comes to software security and privacy concerns, Niall Browne and Ryan Taylor are two of the most plugged-in professionals you will find. Niall is the Chief Information Security Officer at Domo. Ryan is the company’s Chief Privacy & Data Protection Officer. As the adoption of digital technologies becomes more widespread, and talk of more regulatory oversight in the U.S. grows louder, I got their thoughts on a number of issues surrounding this increasingly important topic for all busi

Government 52

Government Cybersecurity Data Governance Artificial Intelligence 52

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Business Analyst Mentor

OCTOBER 11, 2019

Having control of your business analyst career path is even more important than it was several years ago to provide a basis for business analyst career growth that is meaningful.

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Juice Analytics

OCTOBER 10, 2019

“Can’t we sprinkle in some pie charts just to change things up?” If you’re in the information design business, you’ve probably heard some version on this request. Variety is the spice of life, right? I say: Get your spice elsewhere. Your audience doesn’t have interest in learning a bunch of different charts — and carrying an unnecessary cognitive load.

Visualization 49

Visualization Data Visualization 49

EBG Consulting

OCTOBER 10, 2019

I recently had the pleasure of being part of the “Women in Agile” podcast ( available here ). In the podcast, I discuss infusing product management with agile principles and practices. Leslie Morse , the podcast interviewer, summarized the highlights of our conversation as follows: “Ellen speculates a future where there will be a “blending of disciplines where you don’t necessarily have a business area and a technology area”, just one product team with interdisciplinary team members.

Agile 48

Agile Product Management Product Management 48

Agile Velocity

OCTOBER 9, 2019

Culture is listed in many surveys as one of the biggest barriers organizations have in adopting Agile frameworks. While it is true that culture can be a blocker for change, culture can also be used to help accelerate adoption and transformation. Being able to identify and understand how culture is used at your organization is an important first step in any Agile framework adoption.

Agile 48

Agile Innovation 48

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