WHY IT MATTERS: Digital Transformation
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6 fundamental shifts in data architecture to drive innovation- they look so simple yet they are very difficult to implement via @McKinsey

6 fundamental shifts in data architecture to drive innovation- they look so simple yet they are very difficult to implement via @McKinsey | WHY IT MATTERS: Digital Transformation | Scoop.it

An agile approach to overhauling data architecture improves speed, flexibility, and innovation.

Farid Mheirs insight:

WHY IT MATTERS: data is the fuel for digital transformation. Changing the data architecture of organizations to support real-time quality data requires a number of fundamental changes that often requires changes in infrastructure, legacy systems and more importantly, governance and user behavior.

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A 17-year guide to building the world’s best pandemic and protest trackers highlights how easy - and sometimes painful, long, tedious - it is to aggregate data to provide true picture of what's hap...

A 17-year guide to building the world’s best pandemic and protest trackers highlights how easy - and sometimes painful, long, tedious - it is to aggregate data to provide true picture of what's hap... | WHY IT MATTERS: Digital Transformation | Scoop.it

The coronavirus pandemic and the protests sparked by the May 25 murder of George Floyd have been the defining events of 2020 so far, and in both cases one 17-year-old has played a major role online: Avi Schiffmann, the creator of the web’s preeminent covid-19 case tracker and, more recently, a protest tracking site.

Farid Mheirs insight:

WHY IT MATTERS: 17 years old and he manages to build 2 very popular and useful websites. Not rocket science just a lot of elbow grease and time. Little or no money though. Little or no experience though. There is something to learn for all of us "digital transformation experts" out there...

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50+ #free Data Studio Templates to Automate SEO Reporting + Lots More marketing and web reports, dashboards and visualizations

50+ #free Data Studio Templates to Automate SEO Reporting + Lots More marketing and web reports, dashboards and visualizations | WHY IT MATTERS: Digital Transformation | Scoop.it

Looking for a data visualisation tool or SEO report templates? Grab these FREE Data Studio Templates to speed up your reporting (and more).

Farid Mheirs insight:

WHY IT MATTERS: Google data studio is a very simple and useful tool to consolidate and display data from websites, ecommerce, social and other digital activities. Great for marketing but anyone with interested in showing how good (or bad) their digital activities are. Moreover the results can be viewed online or emailed as PDF!

Jany Nwagbara's curator insight, May 7, 6:46 AM
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These Viral #Coronavirus Cellphone Maps track #springbreak students as they go back home, show how much we can do with big data and raise concerns about #privacy

These Viral #Coronavirus Cellphone Maps track #springbreak students as they go back home, show how much we can do with big data and raise concerns about #privacy | WHY IT MATTERS: Digital Transformation | Scoop.it

Phone location heat maps track social distancing, but they raise a serious issue.

Farid Mheirs insight:

WHY IT MATTERS: using phone location and big data analysis tools it is possible to track where spring break party-going students have gone after the beach closed. Amazing to see, great and powerful to predict pandemic propagation. Also another reason to fear privacy invasion...

Direct link to the video: https://www.youtube.com/watch?v=cq2zuE3ISYU 

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The Gartner 2020 Magic Quadrant for Data Science and #ML Platforms

The Gartner 2020 Magic Quadrant for Data Science and #ML Platforms | WHY IT MATTERS: Digital Transformation | Scoop.it

Expert data scientists and other professionals working in data science roles require capabilities to source data, build models and operationalize machine learning insights. Significant vendor growth, product development and myriad competing visions reflect a healthy market that is maturing rapidly.

Farid Mheirs insight:

WHY IT MATTERS: machine learning is all about data and data analysis so no surprise that data analysis tools are exploding these days. The quadrant is interesting to ID the big players but jump to the end of the report for a market analysis that is worth the read.

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Amazon Ring camera doorbell bragged about tracking Kids on Halloween and provides camera feeds to police departments with event detection that is quite large - raises both good and bad feelings abo...

Amazon Ring camera doorbell bragged about tracking Kids on Halloween and provides camera feeds to police departments with event detection that is quite large - raises both good and bad feelings abo... | WHY IT MATTERS: Digital Transformation | Scoop.it

The home surveillance company owned by Amazon bragged on Instagram about taping millions of kids going door to door.

Farid Mheirs insight:

WHY IT MATTERS: every device being connected to the internet brings with it the possibility of remote monitoring. Here, doorbells equipped with cameras can detect who's at the door and determine who is trick or tricking at Halloween. But it can also detect burglaries, car crashes and other common neighbourhood events. Should we be concerned or feel more secured?

In the context of businesses, this can be extended to employee surveillance and possibly spying. Fun times ahead as the number of connected IOT devices is set to explode x10 in coming years.

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80 Stats on 8 topics on the Future Customer Experience Shaped By Technology highlights what's trending- Before jumping in, retailers should ask themselves: is there a business model to support this...

80 Stats on 8 topics on the Future Customer Experience Shaped By Technology highlights what's trending- Before jumping in, retailers should ask themselves: is there a business model to support this... | WHY IT MATTERS: Digital Transformation | Scoop.it

Technology is the future of customer experience. These statistics show the grow of new technology and how it impacts everything about the future of customer experience.

Farid Mheirs insight:

WHY IT MATTERS: the trends is clear, technology drives a number of business innovations in Retail. Questions is: is there a business model behind those innovations? Not always unfortunately... Nevertheless, useful insights about what's trending.

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Take this test: 9 data points is all you need to determine who you are going to vote in the next election- Imagine what you can do when you have 1000s as do Apple, Google, Facebook, etc.? via @Radi...

Take this test: 9 data points is all you need to determine who you are going to vote in the next election- Imagine what you can do when you have 1000s as do Apple, Google, Facebook, etc.? via @Radi... | WHY IT MATTERS: Digital Transformation | Scoop.it

À quel point l’âge, le revenu, le genre ou la religion influencent les chances de voter pour un parti? Nous avons puisé dans les réponses de 387 671 utilisateurs de la Boussole électorale pour le déterminer.

Farid Mheirs insight:

WHY IT MATTERS: the power of big data is all here in this test. Enter your age, gender and 7 other facts about you and they will determine with high confidence what party you will vote for in the upcoming Canadian election. What's the trick? The data from an online survey of 300,000 Canadians. So now imagine the kind of targetting Apple, Google, Facebook, Amazon can do and you'll realize why they are so valuable and dangerous. Amazing!

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Meet the #AI Landlord That’s Building a Single-Family-Home Empire using #BigData + #AI + #humans

Meet the #AI Landlord That’s Building a Single-Family-Home Empire using #BigData + #AI + #humans | WHY IT MATTERS: Digital Transformation | Scoop.it

Finding shabby abodes like these and making them respectable is the load-bearing wall of Amherst’s strategy. Amherst depends on humans to find cities, towns, and neighborhoods where fixer-uppers can become profitable, then relies on automation to pick individual homes. Negri, 31, heads the human team. He spends 150 days a year on the road overseeing Main Street ­Renewal’s operations from Atlanta to Denver, searching for “sweet spot” neighborhoods that combine affordable rents with a strong middle-income employment base.

Farid Mheirs insight:

WHY IT MATTERS: AI and big data applied to home improvement and renovation.

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Google Street View image of a house predicts car accident risk of its resident and raises privacy concerns that legislation has yet to address via @benedictevans

Google Street View image of a house predicts car accident risk of its resident and raises privacy concerns that legislation has yet to address via @benedictevans | WHY IT MATTERS: Digital Transformation | Scoop.it

Road traffic injuries are a leading cause of death worldwide. Proper estimation of car accident risk is critical for appropriate allocation of resources in healthcare, insurance, civil engineering, and other industries. We show how images of houses are predictive of car accidents. We analyze 20,000 addresses of insurance company clients, collect a corresponding house image using Google Street View, and annotate house features such as age, type, and condition. We find that this information substantially improves car accident risk prediction compared to the state-of-the-art risk model of the insurance company and could be used for price discrimination. From this perspective, public availability of house images raises legal and social concerns, as they can be a proxy of ethnicity, religion and other sensitive data.

Farid Mheirs insight:

WHY IT MATTERS: more proof that digital transformation will impact our lives in potentially dramatic ways. Here the use of public street view images of houses help predict the risk of car accident by their owner should not come as a surprise as the digitization of physical world assets provides troves of previously unavailable data for companies to mine and exploit. This quote rom the paper highlights the privacy concerns we should all have from this and other digital analysis: 

In particular, features of the house may be a proxy of ethnicity, religion or other characteristics associated with a social status of a person which are forbidden by the law to be used for any discrimination, e.g. price discrimination in certain jurisdictions. Fast development of modern data collection and computational techniques allows for unprecedented exploitation of various data of clients being not even aware of it and development of corresponding legislation in this matter seems to be outpaced.

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Attribution 101: Finding the right measurement model for your business via @Google

Attribution 101: Finding the right measurement model for your business via @Google | WHY IT MATTERS: Digital Transformation | Scoop.it

There are a number of approaches to measurement, depending on the important metrics for your business. Google’s Jeremy Freedman walks you through the steps toward better attribution.

Farid Mheirs insight:

WHY IT MATTERS: this is one of the most important topic in marketing these days, one based on analytics, data, and the proper integration of an often large number of tools and solutions from multiple vendors and technologies. In a nutshell, a very complex solution to design and implement and, as this article explain, a concept that often is not well understood by even those marketers that are in charge of reporting on attribution. So read this to get started.

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#BI tools and #technologies all must include #AI to remain relevant in the future via @Eckerson @TDWI Checklist Report

#BI tools and #technologies all must include #AI to remain relevant in the future via @Eckerson @TDWI Checklist Report | WHY IT MATTERS: Digital Transformation | Scoop.it

In this report, TDWI uncovers deeper insights that give users new perspectives on business questions. AI will transform BI and the way people make decisions and act. Rather than start with a hypothesis, data analysts will begin with an AI-driven insight. Instead of querying data to prove or disprove their hypothesis, users will query data to expand or validate a machine-generated insight or recommendation—or they might act on the AI-based insight at face value. But to get to that point, AI-infused BI tools will need to gain people's trust by consistently delivering accurate, relevant, and transparent insights within the context of a business user’s existing workflow.
In the future, AI-infused BI tools will go beyond just surfacing insights; they will recommend ways to address or fix issues, run simulations to optimize processes, create new performance targets based on forecasts, and take action automatically. And yes, machines will make some decisions for us—especially operational decisions in real-time environments. We see this today with fraud detection and online trading systems, but it will become more pervasive.

Farid Mheirs insight:

WHY IT MATTERS: an interesting report that puts artificial intelligence (AI) tools as tools to augment Business Intelligence (BI) and evolve the field beyond analytics into prediction. Also provide some good reference diagrams as this one.

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AI is the new BI via @Eckerson @TDWI Checklist Report

AI is the new BI via @Eckerson @TDWI Checklist Report | WHY IT MATTERS: Digital Transformation | Scoop.it

In this report, TDWI uncovers deeper insights that give users new perspectives on business questions. AI will transform BI and the way people make decisions and act. Rather than start with a hypothesis, data analysts will begin with an AI-driven insight. Instead of querying data to prove or disprove their hypothesis, users will query data to expand or validate a machine-generated insight or recommendation—or they might act on the AI-based insight at face value. But to get to that point, AI-infused BI tools will need to gain people's trust by consistently delivering accurate, relevant, and transparent insights within the context of a business user’s existing workflow.
In the future, AI-infused BI tools will go beyond just surfacing insights; they will recommend ways to address or fix issues, run simulations to optimize processes, create new performance targets based on forecasts, and take action automatically. And yes, machines will make some decisions for us—especially operational decisions in real-time environments. We see this today with fraud detection and online trading systems, but it will become more pervasive.

Farid Mheirs insight:

WHY IT MATTERS: an interesting report that puts artificial intelligence (AI) tools as tools to augment Business Intelligence (BI) and evolve the field beyond analytics into prediction. Also provide some good reference diagrams as this one.

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Most popular programming language frameworks and tools for machine learning via @Oreilly #AI #machineLearning #BigData

Most popular programming language frameworks and tools for machine learning via @Oreilly #AI #machineLearning #BigData | WHY IT MATTERS: Digital Transformation | Scoop.it

More than 1,300 people mainly working in the tech, finance and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.

Farid Mheirs insight:

WHY IT MATTERS: frameworks tools and technologies for machine learning have evolved very rapidly and play in big part in making AI a reality.

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MIT report explores the next-gen powers of AI for organizations to harness #AI technology and integrate it seamlessly into their #CRM via @MITTechReview

MIT report explores the next-gen powers of AI for organizations to harness #AI technology and integrate it seamlessly into their #CRM via @MITTechReview | WHY IT MATTERS: Digital Transformation | Scoop.it

The golden era of AI is here. But how can organizations best harness the technology and integrate it seamlessly into their CRM? This MIT report explores the next-gen powers of AI for CRM. Download the whitepaper for a deep dive on how Salesforce Platform, embedded with Einstein, turns customer data into predictive insights to deliver the most personalized, intelligent experiences for both customers and employees.

Farid Mheirs insight:

WHY IT MATTERS: this report presents some interesting use case where AI and Big Data are leveraged to automate and extend marketing capabilities for well known retailers and manufacturers.

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2019 Magic Quadrant for Analytics & BI Platforms @Gartner #BI #Analytics #BigData

2019 Magic Quadrant for Analytics & BI Platforms @Gartner #BI #Analytics #BigData | WHY IT MATTERS: Digital Transformation | Scoop.it

Gartner has recognized ThoughtSpot as a Leader in the 2019 Magic Quadrant for Analytics and BI Platforms. ThoughtSpot’s search and AI-driven analytics platform makes it easy for anyone to get insights in seconds.

Farid Mheirs insight:

WHY IT MATTERS: tools for BI and analytics remain more popular than ever. Microsoft claims the top spot again and given the large penetration of Microsoft in organizations with office365 I find it hard to believe when their solutions are not used more than they are...

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Advanced analytics can help malls determine how to best help their tenants be successful via @McKinsey #advancedAnalytics #digitalTransformation

Advanced analytics can help malls determine how to best help their tenants be successful via @McKinsey #advancedAnalytics #digitalTransformation | WHY IT MATTERS: Digital Transformation | Scoop.it

When a leasing team reviews leases set to expire in the next quarter or year, it should study the universe of potential tenants to fill the pipeline: current tenants that might be better off occupying a different unit within the mall, tenants that are in the company’s other malls but not in this one, and any potential new tenants that have expressed interest in leasing a unit.

Farid Mheirs insight:

WHY IT MATTERS: malls, cities and other large property owners should be more data driven, as is expressed in this article.

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Digital technology is one solution to help the mall business reinvent itself for the digital age via @McKinsey #digitalTransformation #wifi #advancedAnalytics #facialRecognition

Digital technology is one solution to help the mall business reinvent itself for the digital age via @McKinsey #digitalTransformation #wifi #advancedAnalytics #facialRecognition | WHY IT MATTERS: Digital Transformation | Scoop.it

To succeed in the digital age, mall operators will need to instill a culture of fact-based decision making throughout the organization. In addition to implementing advanced-analytics tools, they should invest in collecting more of the valuable data that will inform their business decisions. For instance, they can deploy new technologies (such as beacons, granular Wi-Fi, and facial-recognition cameras) to capture behavioral data. They can launch mallwide loyalty programs to gather individual transaction data and generate insights into the customer journey across the entire mall ecosystem. They can also pursue partnerships with tenants—for instance, by negotiating preferred rents in exchange for data sharing. Armed with robust data and advanced analytics tools, malls have the potential to revitalize and revolutionize not just their own business performance but that of the rest of the retail industry as well.

Farid Mheirs insight:

WHY IT MATTERS: mall owners - and other large property space owners such as cities - should invest in technology that they can resell or leverage to be more effective and valuable to their retail tenants. The article explains some ways to do it.

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How mall owners can boost revenues through advanced analytics via @McKinsey #bigData #advancedAnalytics

How mall owners can boost revenues through advanced analytics via @McKinsey #bigData #advancedAnalytics | WHY IT MATTERS: Digital Transformation | Scoop.it

That said, a handful of forward-thinking malls are leading the way in advanced analytics. They’re using prescriptive and predictive analytics—built into user-friendly tools with strong data-visualization capabilities—to make smarter business decisions. In this article, we home in on how malls are using advanced analytics in an especially critical part of their business: revenue management. They’re determining the best mix of stores, understanding and planning store adjacencies that drive higher consumer spending and longer mall visits, and engaging in more-informed rent negotiations with tenants. It’s paying off: malls using these tools have increased their leasing revenues by double-digit percentages.

Farid Mheirs insight:

WHY IT MATTERS: mall owners can leverage digital technologies to improve their revenues. The analysis proposed here appears straightforward and should be considered by any mall owner. I also feel it may be used by other large rental property owners such as large retail store chains or even cities that suffer from loss of physical retail revenues.

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Inside the Digital Factory

Inside the Digital Factory | WHY IT MATTERS: Digital Transformation | Scoop.it

Cutting-edge technology gives a glimpse into the future of how things will get made, and what manufacturers must do to stay relevant.

Farid Mheirs insight:

WHY IT MATTERS: factories are being transformed by digital at a rapid pace and this paper provides insights into that transformation, including how technologies are being deployed today.

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The Future of Security Guards from Securitas presents a #date-driven future full of technology - the transformation of a still very manual industry

The Future of Security Guards from Securitas presents a #date-driven future full of technology - the transformation of a still very manual industry | WHY IT MATTERS: Digital Transformation | Scoop.it

Securitas 2018 investor update conference presents the strategy for the future.

Farid Mheirs insight:

WHY IT MATTERS: the security industry will be transformed with digital technologies, sensors, big data, drones, AI and other disruptive technologies. Start the video around 1:20:00 in the section #3

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Artificial intelligence for High Frequency Retail - Pricing, Inventory and Margins Optimization #AI #Retail #Grocery

Artificial intelligence for High Frequency Retail - Pricing, Inventory and Margins Optimization #AI #Retail #Grocery | WHY IT MATTERS: Digital Transformation | Scoop.it

Daisy Intelligence is one such artificial intelligence vendor. The Toronto-based company focuses on retail merchandise planning: promotion, pricing and demand forecasting optimization. We spoke with Gary Saarenvirta, CEO of Daisy Intelligence with the intention of finding answers to the following questions:
Why might grocery vendors or supermarkets need AI?
How can retailers leverage AI for optimizing merchandising decision making?

Farid Mheirs insight:

WHY IT MATTERS: the article presents possible use cases for AI in grocery Big Data analysis. 

Obinna Odenigbo's curator insight, October 30, 2018 3:55 AM
AI could be very useful in the retail industry. 
 
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Sephora is #1 in this year Top100 list of Performing Retailers in Personalization #retail #bigData #customerExperience

Sephora is #1 in this year Top100 list of Performing Retailers in Personalization #retail #bigData #customerExperience | WHY IT MATTERS: Digital Transformation | Scoop.it

Check out the top-performing retailers and ecommerce companies as evaluated by Sailthru's experts in retail personalization and customer experience.

Farid Mheirs insight:

WHY IT MATTERS: personalization is a key trend in digital transformation. This list provides a good insight into who the leaders are providing great insights into the things we must do to personalize web, email, mobile, etc. customer experience

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Digital tools helps decipher the reaction to political debates using @SemeonAnalytics tools #AI #PolQc #Quebec2018 #DebatQc HT @Guglielminetti

Digital tools helps decipher the reaction to political debates using @SemeonAnalytics tools #AI #PolQc #Quebec2018 #DebatQc HT @Guglielminetti | WHY IT MATTERS: Digital Transformation | Scoop.it

Lors de la soirée du Débat des chefs, bien des choses ont été dites sur Internet, par les électeurs qui suivaient le débat, par les analystes, les sympathisants et même, les partis eux-mêmes. Voici une analyse de ces propos produites par les gens de Semeon Analytics pour chacun des chefs présent lors du débat de jeudi…

Farid Mheirs insight:

WHY IT MATTERS: big data and AI can extract the information from social networks - this is a perfect example of the use of such tools to analyze the sentiments towards politicians during debates in Quebec province.

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Why Traditional Marketing Analytics Tools Fail and What to do about it #SoTrue @pointList

Why Traditional Marketing Analytics Tools Fail and What to do about it #SoTrue @pointList | WHY IT MATTERS: Digital Transformation | Scoop.it

This post explains why traditional marketing analytics tools can't deliver the results CMO’s demand and what you can do to overcome their limitations.

Farid Mheirs insight:

WHY IT MATTERS: it is true that analysis of marketing data is difficult and often requires advanced technical skills to string together the tools required to make sense of data. Interesting diagrams and explanations here.

C Dietz's curator insight, September 14, 2018 11:33 AM
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Curated by Farid Mheir
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