BA Learnings

SEPTEMBER 11, 2017

It’s common knowledge that people tend to resist change as much as they can. However, without change, there can’t be progress and BAs would certainly not have that much to do. When working on large projects, change requests from stakeholders are to be expected. Successful project managers and analysts know how to manage them without bringing the project to a standstill.

Management 185

Management Strategy Interactive Software 185

Darkhorse

SEPTEMBER 12, 2017

A few years ago we worked with the Alberta Government on a tool that would make Fish Consumption Advisories more accessible to the general public. And after working its way through the government’s approvals process that tool is finally here. One of the problems with eating fish, besides the smell it can leave in the office microwave, is that mercury accumulates in their bodies over time, and we humans don’t mix well with mercury.

Testing 75

Testing IT Visualization 75

ScienceSoft

SEPTEMBER 15, 2017

Hadoop MapReduce or Apache Spark? We explore two leading big data frameworks to understand the business needs each of them can satisfy.

Big Data 77

Big Data 77

Smarten

SEPTEMBER 11, 2017

Plug n’ Play Predictive Analysis: Sophisticated, Yet Easy for Every User! Oh, the confusion of advanced analytical terminology. Read a report, attend a conference and your head is swirling with terms like ‘assisted predictive modeling’, plug n’ play predictive analysis, smart visualization, augmented data discovery and augmented data preparation.

Predictive Modeling 61

Predictive Modeling Analytics Predictive Analytics Forecasting 61

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Paris Technologies

SEPTEMBER 10, 2017

“Information is only useful when it can be understood” – Muriel Cooper Just about everything in life benefits from having the right information at the right time. In a business context, organizations that leverage information quickly are more agile, allowing them to respond faster to market trends, giving them an upper hand over their competitors. […].

Marketing 53

Marketing IT Business Analytics Business Intelligence 53

Mark Raskino

SEPTEMBER 12, 2017

Something I’ve noticed in a few interactions this year, has been too much planning for digital business innovation. We meet with some technology and business executives who have been strategizing and planning how to set up a digital business innovation center or capability for months and months. sometimes a year, or even two years. endless tunnel CC 2.0 kimdokhac via Flickr.

Experimentation 49

Experimentation Interactive Risk Marketing 49

Smarten

SEPTEMBER 15, 2017

Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Panel discussions at technology conferences and hallway conversations among executives and IT staff encourage the trend and create anxiety within the organization that has not yet embraced advanced analytics at the grassroots level.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Nutanix

SEPTEMBER 12, 2017

When I joined Nutanix 8 months ago, one of my first objectives was to audit the sprawl of applications and infrastructure typically found in a fast-growing startup, and to standardize and streamline IT operations around the globe. Naturally, being in the infrastructure business, it made a lot of sense to “eat our own dog food” — move all on-prem and hybrid workloads to Nutanix — and be the first customer of everything that comes out of engineering into production.

IT 20

IT 20

MLWhiz

SEPTEMBER 13, 2017

Often times it happens that we fall short of creativity. And creativity is one of the basic ingredients of what we do. Creating features needs creativity. So here is the list of ideas I gather in day to day life, where people have used creativity to get great results on Kaggle leaderboards. Take a look at the How to Win a Data Science Competition: Learn from Top Kagglers course in the Advanced machine learning specialization by Kazanova(Number 3 Kaggler at the time of writing).

Machine Learning 40

Machine Learning Data Science IT 40