December 2020 – AnalyticsCube

Dec 31, 20: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

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[ COVER OF THE WEEK ]

Statistically Significant Source

[ TIPS & TRICKS OF THE WEEK]

Grow at the speed of collaboration
A research by Cornerstone On Demand pointed out the need for better collaboration within workforce, and data analytics domain is no different. A rapidly changing and growing industry like data analytics is very difficult to catchup by isolated workforce. A good collaborative work-environment facilitate better flow of ideas, improved team dynamics, rapid learning, and increasing ability to cut through the noise. So, embrace collaborative team dynamics.

[ DATA SCIENCE Q&A]

Q:What is A/B testing?
A: * Two-sample hypothesis testing
* Randomized experiments with two variants: A and B
* A: control; B: variation
* User-experience design: identify changes to web pages that increase clicks on a banner
* Current website: control; NULL hypothesis
* New version: variation; alternative hypothesis

Source

[ VIDEO OF THE WEEK]

@chrisbishop on futurist’s lens on #JobsOfFuture #FutureofWork #JobsOfFuture #Podcast

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[ QUOTE OF THE WEEK]

It is a capital mistake to theorize before one has data. Insensibly, one begins to twist the facts to suit theories, instead of theories to

[ PODCAST OF THE WEEK]

@AmyGershkoff on building #winning #DataScience #team #FutureOfData #Podcast

iTunes GooglePlay

[ FACT OF THE WEEK]

2.7 Zetabytes of data exist in the digital universe today.

Sourced from: Analytics.CLUB #WEB Newsletter

Originally Posted at: by

Trust is hard to find in the workplace, report suggests

As the world prepares to close the book on the unprecedented events of 2020 and looks ahead to 2021 with renewed hope and optimism, global research from The Workforce Institute at UKG explores the importance of elevating trust to a foundational imperative to create high-performing workplace cultures that better serve customers and their communities.

âTrust in the Modern Workplaceâ is based on a global survey of nearly 4,000 employees and business leaders in 11 countries. Commissioned by The Workforce Institute at UKG and conducted by Workplace Intelligence, the report examines the current state of trustâespecially between employees and leadersâand the opportunities organisations can create by making trust a foundational element of their employee experience.

Source

Dec 24, 20: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

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[ COVER OF THE WEEK ]

Weak data Source

[ AnalyticsWeek BYTES]

>> Janet Amos Pribanic says: âBusiness Analytics â Itâs really OK that itâs not perfect first time out!â by analyticsweek

>> What Analytics Capabilities Do Your Customers Need? Ask These 5 Questions by analyticsweek

>> Meet Us in DC for the 2019 Logi Conference by analyticsweek

Wanna write? Click Here

[ FEATURED COURSE]

Introduction to Apache Spark

Learn the fundamentals and architecture of Apache Spark, the leading cluster-computing framework among professionals…. more

[ FEATURED READ]

The Black Swan: The Impact of the Highly Improbable

A black swan is an event, positive or negative, that is deemed improbable yet causes massive consequences. In this groundbreaking and prophetic book, Taleb shows in a playful way that Black Swan events explain almost eve… more

[ TIPS & TRICKS OF THE WEEK]

Analytics Strategy that is Startup Compliant
With right tools, capturing data is easy but not being able to handle data could lead to chaos. One of the most reliable startup strategy for adopting data analytics is TUM or The Ultimate Metric. This is the metric that matters the most to your startup. Some advantages of TUM: It answers the most important business question, it cleans up your goals, it inspires innovation and helps you understand the entire quantified business.

[ DATA SCIENCE Q&A]

Q:Given two fair dices, what is the probability of getting scores that sum to 4? to 8?
A: * Total: 36 combinations
* Of these, 3 involve a score of 4: (1,3), (3,1), (2,2)
* So: 3/36=1/12
* Considering a score of 8: (2,6), (3,5), (4,4), (6,2), (5,3)
* So: 5/36

Source

[ VIDEO OF THE WEEK]

Decision-Making: The Last Mile of Analytics and Visualization

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[ QUOTE OF THE WEEK]

You can use all the quantitative data you can get, but you still have to distrust it and use your own intelligence and judgment. Alvin Tof

[ PODCAST OF THE WEEK]

#BigData @AnalyticsWeek #FutureOfData #Podcast with John Young, @Epsilonmktg

iTunes GooglePlay

[ FACT OF THE WEEK]

Three-quarters of decision-makers (76 per cent) surveyed anticipate significant impacts in the domain of storage systems as a result of the Big Data phenomenon.

Sourced from: Analytics.CLUB #WEB Newsletter

Source: by

Dec 17, 20: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

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[ COVER OF THE WEEK ]

Insights Source

[ FEATURED COURSE]

Baseball Data Wrangling with Vagrant, R, and Retrosheet

Analytics with the Chadwick tools, dplyr, and ggplot…. more

[ FEATURED READ]

Hypothesis Testing: A Visual Introduction To Statistical Significance

Statistical significance is a way of determining if an outcome occurred by random chance, or did something cause that outcome to be different than the expected baseline. Statistical significance calculations find their … more

[ TIPS & TRICKS OF THE WEEK]

[ DATA SCIENCE Q&A]

Q:What is star schema? Lookup tables?
A: The star schema is a traditional database schema with a central (fact) table (the observations, with database keys for joining with satellite tables, and with several fields encoded as IDs). Satellite tables map IDs to physical name or description and can be joined to the central fact table using the ID fields; these tables are known as lookup tables, and are particularly useful in real-time applications, as they save a lot of memory. Sometimes star schemas involve multiple layers of summarization (summary tables, from granular to less granular) to retrieve information faster.

Lookup tables:
– Array that replace runtime computations with a simpler array indexing operation

Source

[ VIDEO OF THE WEEK]

@TimothyChou on World of #IOT & Its #Future Part 1 #FutureOfData #Podcast

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[ QUOTE OF THE WEEK]

War is 90% information. – Napoleon Bonaparte

[ PODCAST OF THE WEEK]

Want to fix #DataScience ? fix #governance by @StephenGatchell @Dell #FutureOfData #Podcast

iTunes GooglePlay

[ FACT OF THE WEEK]

39 percent of marketers say that their data is collected ‘too infrequently or not real-time enough.’

Sourced from: Analytics.CLUB #WEB Newsletter

Source:

Originally Posted at: by

Dec 10, 20: #AnalyticsClub #Newsletter (Events, Tips, News & more..)

[ COVER OF THE WEEK ]

Data security Source

[ AnalyticsWeek BYTES]

>> Data Scientist? Programmer? Are They Mutually Exclusive? by analyticsweek

>> Venu (@VenuV62 | @ProcterGamble) on creating a rockstar data science team #FutureOfData by admin

>> Podcast â How Talend Is Helping Companies Liberate Their Data by analyticsweek

Wanna write? Click Here

[ FEATURED COURSE]

Python for Beginners with Examples

A practical Python course for beginners with examples and exercises…. more

[ FEATURED READ]

How to Create a Mind: The Secret of Human Thought Revealed

Ray Kurzweil is arguably today’s most influentialand often controversialfuturist. In How to Create a Mind, Kurzweil presents a provocative exploration of the most important project in human-machine civilizationreverse… more

[ TIPS & TRICKS OF THE WEEK]

Data Analytics Success Starts with Empowerment
Being Data Driven is not as much of a tech challenge as it is an adoption challenge. Adoption has it’s root in cultural DNA of any organization. Great data driven organizations rungs the data driven culture into the corporate DNA. A culture of connection, interactions, sharing and collaboration is what it takes to be data driven. Its about being empowered more than its about being educated.

[ DATA SCIENCE Q&A]

Q:How do you take millions of users with 100s transactions each, amongst 10ks of products and group the users together in meaningful segments?
A: 1. Some exploratory data analysis (get a first insight)

* Transactions by date
* Count of customers Vs number of items bought
* Total items Vs total basket per customer
* Total items Vs total basket per area

2.Create new features (per customer):

Counts:

* Total baskets (unique days)
* Total items
* Total spent
* Unique product id

Distributions:

* Items per basket
* Spent per basket
* Product id per basket
* Duration between visits
* Product preferences: proportion of items per product cat per basket

3. Too many features, dimension-reduction? PCA?

4. Clustering:

* PCA

5. Interpreting model fit
* View the clustering by principal component axis pairs PC1 Vs PC2, PC2 Vs PC1.
* Interpret each principal component regarding the linear combination its obtained from; example: PC1=spendy axis (proportion of baskets containing spendy items, raw counts of items and visits)

Source

[ VIDEO OF THE WEEK]

@ReshanRichards on creating a learning startup for preparing for #FutureOfWork #JobsOfFuture #Podcast

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[ QUOTE OF THE WEEK]

It is a capital mistake to theorize before one has data. Insensibly, one begins to twist the facts to suit theories, instead of theories to

[ PODCAST OF THE WEEK]

Understanding Data Analytics in Information Security with @JayJarome, @BitSight

iTunes GooglePlay

[ FACT OF THE WEEK]

Poor data across businesses and the government costs the U.S. economy $3.1 trillion dollars a year.

Sourced from: Analytics.CLUB #WEB Newsletter

Top 15 Fintech Newsletters To Subscribe To

Data Analytics has been the backbone of some of the revolutionary companies that are disrupting the ecosystem. Finance industry is no different. These newsletters are picked by our editorial team based on the latest trends and development. Do read it till the end to enhance your understanding of the subject. If you think we are missing anything, let us know in the comments and our team will review and add it into the blog.

The Fintech Blueprint

Finance is being pulled apart by the forces of frontier technology. From artificial intelligence, to blockchain and crypto assets, to mixed reality, chatbots, neobanks, and roboadvisors â the industry will never be the same. Its fee pools will collapse, attention platforms will aggregate users, the infrastructure will be digitized, and generations will change.

CB Insights Newsletter

Probably the best newsletter to track emerging industries, venture capital and disruptive startups. Analysis of the fintech industry, usually with amazing charts and infographics, are frequent and well done. More than 140,000 professionals are getting it delivered every week in their inboxes by the companyâs CEO Anand Sanwal and the CB Insights team.

Fintech Takes

There are plenty of newsletters that will give you a daily rundown of financial industry and technology news headlines. Frankly, if thatâs what youâre looking for, just follow the right 50 people on Twitter and you can drink from the firehose in real time.

This isnât that.

This is a recurring attempt to thoughtfully dissect the most interesting financial industry and technology news and ideas and spotlight opportunities for all of usâbanks, credit unions, startups, vendors, consultantsâto do better.

Net Interest

Net Interest is a weekly newsletter of insight and analysis from the world of finance. Enjoyed by executives, investors, policymakers, students and more, it casts light on this important sector in an easy-to-read style.

Written by a former analyst and hedge fund manager, Net Interest distils 25 years of experience in the financial sector into a weekly note. Each note explores a theme currently trending in the sector. Whether it’s fintech, economics or investment cycles â there’s always something to talk about!

Fintech Brain Food

Simon Taylor is the co-founder and Head of Ventures at 11:FS. Although he’s only be two months into his new Fintech Brain Food newsletter, but heâs been blogging on 11: FSâ site for several years. For someone who is among the most influential thought leaders on distributed ledger technology, Simon focusses more on the mundane world of neobanks and banking as a service in his new blog.

Banking Technology

Broad readership and solid reputation, combined with in-depth coverage across fintech on a worldwide scale, makes Banking Technology the leading resource for technology buyers, sellers, developers, integrators and other specialists across the sector.

The website attracts nearly one million monthly page views and the daily newsletter is delivered to over 35,000 key decision-makers in the financial services and technology sectors. The brand is active across the key B2B social media platforms, with over 42,000 followers on Twitter @FinTech_Futures and over 21,000 members in our LinkedIn groups.

Pivot Assets

Do you work at software companies currently developing banking software? Or do you work at a vendor that wants to move vertically into the banking market?

This newsletter for people who are trying to differentiate their banking software in an increasingly competitive market. This focus will interest bankers and investors as well.

Fintech Weekly

The newsletter comprises of a good collection of the latest articles on developments, solutions and innovations in fintech industry, with dates for conferences, hackathons and deadlines. It’s delivered to you every week by the Railslove team from Cologne, Germany.

The Financial Brand

The Financial Brand is an online resource that talks about a variety of topics related to the challenges financial institutions are facing and the strategies they’re using to overcome them. As mentioned in their website, these topics include “marketing, branding, retail channels, mobile, product design, innovation and sales strategies” in the banking industry.

Fintech Radar

Fintech Radar is a weekly missive that curates all the latest news from the world of fintech and packages it up into a neat weekly email newsletter.

However, this newsletter is more than a curation of links. We use the news as a stepping off point into some in-depth analysis and the occasional hot take on whatâs happening in the fintech industry.

American Banker Magazine

This magazine focuses on “innovation, transformation and disruption” and examines their effect on the financial industry. American Banker offers relevant articles, newsletters and event access to bankers, financial executives, advisors, lawmakers, tech analysts and other professionals interested in this industry.

Digital Banking Report

With a legacy of over 20 years, the Digital Banking Report is a leading source of unbiased guidance for bank and credit union product managers, marketers, and executives wanting insights to improve planning and benchmarking.

FinTech Finance

This newsletter focuses on current global trends within FinTech from leading executives in the industry. Their content includes a quarterly print publication covering relevant topics, articles on the latest headlines, a monthly video series via their YouTube channel and industry event coverage.

Global Banking & Finance Review

Global Banking & Finance Review aims to provide current news and information on finance, including technology’s impact on the industry. This print and online magazine was bought out to address a need for balanced perspectives by providing thorough, yet easy to digest news for high-level executives of top financial companies and banks and others in the financial community.

Finovate & FinDEVr

Finovate offers conference series on innovative trends on the financial industry and banking technology. Since its foundation in 2007, this platform has held 30 events in New York, the Bay Area and internationally in London and Asia with more than 16,000 attendees from 700 companies. FinDEVr is their blog that focuses on the development side of financial and banking technology.

Do let us know what you think of our selection. We look forward to your comments and suggestions!

AnalyticsWeek team is tasked to deliver on a simple promise: âBringing analytics to the 99%â and our editorial team works tirelessly to stay true to our mission. These articles are created to provide a much needed educational ground to help businesses up their game in data and analytics. So, do check our blogs out and if they are useful, we would appreciate it if you share it within your community and help us reach the audience who could benefit from our articles.

Source: Top 15 Fintech Newsletters To Subscribe To