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We have talked at length about the importance of data analytics in the field of marketing. Data analytics offers many useful insights for companies striving to boost their market share. One of the best applications of data analytics is through enhanced account-based marketing. MORE
About three years ago when the data model development engineers from the Power BI product team told me they were working on the ability for tabular data models to share other published data models, that sounded amazing and almost too good to be true. MORE
The COVID-19 global pandemic was by far the biggest influencer of 2020. This virus has cost over 1.8 million lives worldwide, and has upended normal life and commerce for most everyone. Many thousands of businesses were forced to close, costing millions of jobs. MORE
The wholesale food industry is faced with many new challenges as a result of the pandemic, most notably a decline in demand for goods as hotels, restaurants, schools and sporting venues operate at a lower capacity. MORE
Artificial intelligence (AI) powered solutions have popped up across numerous industries. From healthcare to transportation, it has found applications in a vast number of things and business marketing is no different. MORE
Text classification is a ubiquitous capability with a wealth of use cases. For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information. MORE
Part of the the series: Doing Power BI the Right Way Power BI, more that any other Microsoft product in my recollection, offers more options and choices to architect and deliver a solution. MORE
Microsoft Excel is frequently referred to as the number one business intelligence (BI) tool because it is one of the most commonly used applications. For smaller businesses, Excel is a useful tool for simple calculations and analysis. MORE
Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy. MORE
Introduction. The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies. MORE
Predicts 2021: Data and Analytics Leaders Are Poised for Success but Risk an Uncertain Future : By 2023, 50% of chief digital officers in enterprises without a chief data officer (CDO) will need to become the de facto CDO to succeed. MORE
Artificial intelligence has been a huge revolutionary advance for modern consumers and businesses. It has led to some of the most important and pressing discoveries. The market was worth $39.9 billion in 2019 and is growing at a pace of 42% a year between 2020 and 2027. MORE
Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data. MORE
2020 put on full display how humanity shows up in times of hardship. We saw everything from street celebrations to usher weary medical personnel home after long days fighting to save lives to places like food banks receiving more donations and volunteers than ever before. MORE
Introduction. Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts. MORE
Having a clean living and working environment is paramount, which has only heightened since the onsite of the coronavirus. When it comes to sanitation and cleanliness, this cannot be taken for granted – especially as workspaces and homes need to meet specific safety standards. MORE
Most data is not static. No, data has a life in which it changes, is used for perhaps multiple purposes, and gets moved all over the place. So, it makes sense to think about the lifecycle of your data at your organization. The accompanying diagram helps to demonstrate this lifecycle. MORE
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction to Naive Bayes algorithm Naive Bayes is a classification algorithm. The post A Guide to the Naive Bayes Algorithm appeared first on Analytics Vidhya. MORE
Image Credit: © Jérôme Rommé— stock.adobe.com #223862658. It’s difficult to imagine how any practitioner could improve without seeing, seeking and considering feedback 1. MORE
Artificial intelligence is a term that many science fiction fans are well aware of. However, in recent years, it has gone from fiction pages into reality, as more and more developers are leveraging software's ability to teach itself. MORE
Interconnected technologies have slowly permeated each aspect of human life. From health, fitness and home security to large-scale industries, the Internet of Things (IoT) makes it possible to automate nearly anything. MORE
In this post, I would like to share some ideas about how data virtualization and the Denodo Platform can be helpful in the exciting new world of edge computing, or the Internet of Things (IoT). The idea of the. MORE
Data science is an exciting field, but it can be intimidating to get started, especially for those new to coding. MORE
Introduction. Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models. MORE
Imagine you’re in a landlocked country, and a mystery infection has spread. The government has fallen, and rebels are roaming the country. If you’re the armed forces in this scenario, how do you make decisions in this environment? How can you fully understand the situation at hand? MORE
ArticleVideos Overview Merely building the model is not enough without stakeholders not being to interpret the outputs of your model In this article, understand. The post ML Interpretability using LIME in R appeared first on Analytics Vidhya. MORE
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Bear and bull are terms that you will get to. The post Bear run or bull run, Can Reinforcement Learning help in Automated trading? appeared first on Analytics Vidhya. MORE
I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. MORE
Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data. MORE
Whether it’s handwritten by a doctor on a sheet of paper or entered into a computer system, data plays a crucial role in healthcare. At an individual level, patient data determines the course of treatment. MORE
Analytics Vidhya
JANUARY 16, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction to Naive Bayes algorithm Naive Bayes is a classification algorithm. The post A Guide to the Naive Bayes Algorithm appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
JANUARY 15, 2021
Traditional on-premises data processing solutions have led to a hugely complex and expensive set of data silos where IT spends more time managing the infrastructure than extracting value from the data.
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DataFloq
JANUARY 12, 2021
Whether it’s handwritten by a doctor on a sheet of paper or entered into a computer system, data plays a crucial role in healthcare. At an individual level, patient data determines the course of treatment.
Phocas
JANUARY 12, 2021
The wholesale food industry is faced with many new challenges as a result of the pandemic, most notably a decline in demand for goods as hotels, restaurants, schools and sporting venues operate at a lower capacity.
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In this whitepaper from Onna, we will walk you through data retention best practices and provide you with a downloadable template to help you get organized and gain better visibility into your data’s lifecycle.
Smart Data Collective
JANUARY 20, 2021
We have talked at length about the importance of data analytics in the field of marketing. Data analytics offers many useful insights for companies striving to boost their market share. One of the best applications of data analytics is through enhanced account-based marketing.
Domino Data Lab
JANUARY 11, 2021
Data science is an exciting field, but it can be intimidating to get started, especially for those new to coding.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Timoelliott
JANUARY 4, 2021
I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo.
Cloudera
JANUARY 18, 2021
2020 put on full display how humanity shows up in times of hardship. We saw everything from street celebrations to usher weary medical personnel home after long days fighting to save lives to places like food banks receiving more donations and volunteers than ever before.
Paul Turley
JANUARY 10, 2021
About three years ago when the data model development engineers from the Power BI product team told me they were working on the ability for tabular data models to share other published data models, that sounded amazing and almost too good to be true.
Andrew White
JANUARY 12, 2021
Predicts 2021: Data and Analytics Leaders Are Poised for Success but Risk an Uncertain Future : By 2023, 50% of chief digital officers in enterprises without a chief data officer (CDO) will need to become the de facto CDO to succeed.
Speaker: Dr. Rebecca Parsons, CTO of ThoughtWorks
The software development ecosystem exists in a state of dynamic equilibrium, where any new tool, framework, or technique leads to disruption and the establishment of a new equilibrium. Predictability is impossible when the foundation architects plan against is constantly changing in unexpected ways. It’s no surprise many CIOs and CTOs are struggling to adapt, in part because their architecture isn’t equipped to evolve. This webinar will discuss what’s at stake if companies continue to use long term architecture plans.
Analytics Vidhya
JANUARY 18, 2021
ArticleVideos Overview Merely building the model is not enough without stakeholders not being to interpret the outputs of your model In this article, understand. The post ML Interpretability using LIME in R appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
JANUARY 22, 2021
Organizations are dealing with exponentially increasing data that ranges broadly from customer-generated information, financial transactions, edge-generated data and even operational IT server logs. A combination of complex data lake and data warehouse capabilities are required to leverage this data.
DataFloq
JANUARY 19, 2021
Interconnected technologies have slowly permeated each aspect of human life. From health, fitness and home security to large-scale industries, the Internet of Things (IoT) makes it possible to automate nearly anything.
Phocas
JANUARY 19, 2021
Microsoft Excel is frequently referred to as the number one business intelligence (BI) tool because it is one of the most commonly used applications. For smaller businesses, Excel is a useful tool for simple calculations and analysis.
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Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.
Smart Data Collective
JANUARY 8, 2021
Artificial intelligence has been a huge revolutionary advance for modern consumers and businesses. It has led to some of the most important and pressing discoveries. The market was worth $39.9 billion in 2019 and is growing at a pace of 42% a year between 2020 and 2027.
Domino Data Lab
JANUARY 11, 2021
Introduction. Arming data science teams with the access and capabilities needed to establish a two-way flow of information is one critical challenge many organizations face when it comes to unlocking value from their modeling efforts.
Adrian Reed's Blog
JANUARY 11, 2021
Image Credit: © Jérôme Rommé— stock.adobe.com #223862658. It’s difficult to imagine how any practitioner could improve without seeing, seeking and considering feedback 1.
Tre Pryor
JANUARY 13, 2021
Louisville is a remarkable town. It is a crossroads of historical cultures, and its architecture reflects this splendidly.
Advertiser: Amplitude
As part of our goal to continue helping our community during these times, we wanted to share with you this critical data on the state of digital products across industries and provide context on how businesses are responding to the changing winds.
Cloudera
JANUARY 6, 2021
Introduction. Python is used extensively among Data Engineers and Data Scientists to solve all sorts of problems from ETL/ELT pipelines to building machine learning models.
Paul Turley
JANUARY 19, 2021
Part of the the series: Doing Power BI the Right Way Power BI, more that any other Microsoft product in my recollection, offers more options and choices to architect and deliver a solution.
Tim Mitchell
JANUARY 12, 2021
The COVID-19 global pandemic was by far the biggest influencer of 2020. This virus has cost over 1.8 million lives worldwide, and has upended normal life and commerce for most everyone. Many thousands of businesses were forced to close, costing millions of jobs.
Analytics Vidhya
JANUARY 16, 2021
ArticleVideos This article was published as a part of the Data Science Blogathon. Introduction Bear and bull are terms that you will get to. The post Bear run or bull run, Can Reinforcement Learning help in Automated trading? appeared first on Analytics Vidhya.
Advertiser: Data Robot
DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.
David Menninger's Analyst Perspectives
JANUARY 20, 2021
Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy.
DataFloq
JANUARY 9, 2021
Artificial intelligence is a term that many science fiction fans are well aware of. However, in recent years, it has gone from fiction pages into reality, as more and more developers are leveraging software's ability to teach itself.
Phocas
JANUARY 13, 2021
Having a clean living and working environment is paramount, which has only heightened since the onsite of the coronavirus. When it comes to sanitation and cleanliness, this cannot be taken for granted – especially as workspaces and homes need to meet specific safety standards.
Smart Data Collective
JANUARY 14, 2021
Artificial intelligence (AI) powered solutions have popped up across numerous industries. From healthcare to transportation, it has found applications in a vast number of things and business marketing is no different.
Advertiser: UserTesting
Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.
The Data Administration Newsletter
JANUARY 5, 2021
Most data is not static. No, data has a life in which it changes, is used for perhaps multiple purposes, and gets moved all over the place. So, it makes sense to think about the lifecycle of your data at your organization. The accompanying diagram helps to demonstrate this lifecycle.
Data Virtualization
JANUARY 5, 2021
In this post, I would like to share some ideas about how data virtualization and the Denodo Platform can be helpful in the exciting new world of edge computing, or the Internet of Things (IoT). The idea of the.
Ontotext
JANUARY 21, 2021
Introduction. The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies.
Cloudera
JANUARY 7, 2021
Text classification is a ubiquitous capability with a wealth of use cases. For example, recommendation systems rely on properly classifying text content such as news articles or product descriptions in order to provide users with the most relevant information.
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Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.
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