April, 2021

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You Cannot Miss These 8 Python Libraries

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Python is an all-time favorite language for beginners and aspiring. The post You Cannot Miss These 8 Python Libraries appeared first on Analytics Vidhya.

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Rethinking data management for faster time to value

CIO Business Intelligence

As enterprises move ahead in their digital transformation journey, the massive trail of data from digital transactions is growing steadily, but for many organizations extracting intelligence from data remains a pipe dream.

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AI Adoption in the Enterprise 2021

O'Reilly on Data

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. We were interested in answering two questions. First, we wanted to understand how the use of AI grew in the past year. We were also interested in the practice of AI: how developers work, what techniques and tools they use, what their concerns are, and what development practices are in place.

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Incorta Streamlines Analytics with Direct Data Access

David Menninger's Analyst Perspectives

The amount of data flowing into organizations is growing exponentially, creating a need to process more data more quickly than ever before. Our Data Preparation Benchmark Research shows that accessing and preparing data continues to be the most time-consuming part of making data available for analysis. This can potentially slow down the organizational functions which depend on the analysis results.

Analytics 317
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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The DataOps Vendor Landscape, 2021

DataKitchen

Download the 2021 DataOps Vendor Landscape here. Read the complete blog below for a more detailed description of the vendors and their capabilities. DataOps is a hot topic in 2021. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically imp

Testing 304
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Your Guide To Modern Agency Analytics, Dashboards & Reporting Techniques

datapine

With the exponential growth of digital businesses, so has grown the need to outsource some key processes to digital agencies. Although this is positive for the many types of agencies in the market, it has also left them facing a big challenge. With more potential clients on the lookout, agencies need to stand out from the rest with top-quality services and unique features that will make them irreplaceable for their clients.

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3 Top Email Security Practices to Prevent a Data Breach

Smart Data Collective

Cyber-attacks have emerged as a big threat to the world. The World Economic Forum has included cyber-attacks and data breaches in the list of top global risks in 2020. The problems associated with data breaches cannot possibly be overstated. The average data breach cost $3.86 million and that figure could rise even further in the future. While a cyber-attack can take a toll on anyone, it is particularly threatening for business enterprises.

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Data Professionals are Dissatisfied with their Company’s Use of Analytics

Business Over Broadway

I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that data professionals are generally dissatisfied with their company’s use of analytics in helping it gain a competitive advantage; nearly 6 in 10 data professionals said they were dissatisfied with their company’s use of analytics (22% extremely dissatisfied).

Analytics 139
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Process Mining: Improve Execution and Operations with Analytics

David Menninger's Analyst Perspectives

Process-mining software isn’t exactly new, but it’s also not widely known in the software technology market. The discipline has been around for at least a decade, but is generating more interest these days with both specialist vendors and major enterprise software vendors offering process-mining products and services. We assert that through 2022, 1 in 4 organizations will look to streamline their operations by exploring process mining.

Analytics 278
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DataOps Enables Your Data Fabric

DataKitchen

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Forrester relates that out of 25,000 reports published by the firm last year, the report on data fabrics and DataOps ranked in the top ten for downloads in 2020. Gartner included data fabrics in their top ten trends for data and analytics in 2019.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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How to Visualize Qualitative Data with Colored Phrases

Depict Data Studio

Wondering how to visualize your qualitative data? Maybe you’ve got open-ended survey responses, focus group notes, or speech transcripts. Qualitative data visualization can bring our words and phrases to life. My friend Jon Schwabish from PolicyViz asked me to partner on his One Chart at a Time project, in which we’re helping you get better-acquainted with common and not-so-common chart types.

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Statistics and Probability Concepts for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Statistics is the grammar of Science. – Karl Pearson What. The post Statistics and Probability Concepts for Data Science appeared first on Analytics Vidhya.

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The Incredible Impact of Blockchain Technology on the Economy

Smart Data Collective

The crypto market is booming once again. After a 2-year long bear market, prices are skyrocketing far and wide, with Bitcoin leading the charge. In November, Investopedia reported that prices of bitcoin rose 111% and they seem to be increasing even further. Bitcoin has tripled in value since it raced past its previous all-time high of $20.000. This has pushed investors, retail and institutional, into a buying frenzy.

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The Future of Data Science – Mining GTC 2021 for Trends

Domino Data Lab

Deep learning enthusiasts are increasingly putting NVIDIA’s GTC at the top of their gotta-be-there conference list. I enjoyed mining this year’s talks for trends that foreshadow where our industry is headed. Three of them were particularly compelling and inspired a new point of view on transfer learning that I feel is important for analytical practitioners and leaders to understand.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Dataiku Streamlines AI/ML

David Menninger's Analyst Perspectives

Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end. Accessing and preparing data is the most common challenge organizations face in this process, and consequently, AI/ML vendors typically incorporate tools to address this part of the

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10 Upcoming Data Science Platforms for Massive Disruption

DataKitchen

The post 10 Upcoming Data Science Platforms for Massive Disruption first appeared on DataKitchen.

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Keys to Data Fluency: Less Data, More Insights

Juice Analytics

The most common mistake in ineffective data products is an inability to make difficult decisions about what information is most important. Amanda Cox of The New York Times graphics department summed up this problem perfectly: “Data isn’t like your kids—you don’t have to pretend to love them equally.” — Amanda Cox, New York Times Design Group. Photo: Unsplash - Etienne Girardet.

Metrics 134
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Top 8 Hidden Python Packages For Machine Learning in 2021

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most loved languages in. The post Top 8 Hidden Python Packages For Machine Learning in 2021 appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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4 Industries Benefiting from Data-Driven Mobile App Development

Smart Data Collective

As technology continues to evolve, industry leaders are paving the way by using new and emerging capabilities to their advantage. For instance, mobile app development has been an important feature of the last decade. As users demand more intuitive apps and mobile friendly websites from goods and services providers, how are key industries benefiting?

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Post-Pandemic Enterprise Architecture Priorities

erwin

Before the COVID-19 pandemic, many enterprise architects were focused on standardization. Identifying and putting into practice standard approaches to deploying systems, from the IT infrastructure and network protocols to the integration with other components, decreases the time to market for businesses and increases efficiency. In a world where agility and innovation are highly valued, speed is a critical factor for success.COVID-19 forced many businesses to radically change their business mode

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Informatica Continues to Evolve Data Management Platform

David Menninger's Analyst Perspectives

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The goal is to understand how to manage the growing volume of data in real time, across all sources and platforms, and use it to inform, streamline and transform internal operations. Over the years, the adoption of cloud computing has gained momentum with more and more organizations trying to make use of applications, data, analytics and

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DevOps and agile still hindered by enterprise silos, inertia

DataKitchen

The post DevOps and agile still hindered by enterprise silos, inertia first appeared on DataKitchen.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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Keys to Data Fluency: Matching Tools to User Needs

Juice Analytics

A data fluent organization should have a massive appetite for data. As you build your data fluency in front-line decision-makers and create a vibrant ecosystem , the demand for data products will grow. And if there is one truism in analytics, it is: Good analytics generates better questions. In what form do you answer the growing array of questions and needs?

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Beginners Guide to Threading in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Threading in Python- Make your code smarter Python is cool. The post Beginners Guide to Threading in Python appeared first on Analytics Vidhya.

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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

For most entrepreneurs, the best way to make money is to find ways to work smarter and not harder. While different companies, regardless of their size, have different operational processes, they share a common need for actionable insight to drive success in their business. Advancement in big data technology has made the world of business even more competitive.

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The Insights Beat: Renew Your Insights-Driven Aspirations This Year

Srividya Sridharan

After a brief hiatus, the Insights Beat blog series is back, where I will continue to feature and curate the latest research and thought leadership from our business insights, data, analytics and AI research team. It’s been a fast start to the year and there is so much amazing research that the team has published […].

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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The Value Index for Analytics and Data Classifies and Rates Vendors

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Data 2021 is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to analytics and data vendors support

Analytics 241
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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities.

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9 Habits of Data Fluent Organizations — and How to Learn Them

Juice Analytics

With our book , resources and workshops, we’ve shared guidance about what it takes to become a data fluent organization. Most of all, it starts with cultural habits that get people focused on using data in their decision-making. At Juice, we are working everyday to create these habits and we wanted to share how we are building a data-first mindset and where we look for inspiration.

Metrics 132
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The Easiest Way To Deploy Machine Learning Models: PyWebIO

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Creating a machine learning model is a wholesome process involving. The post The Easiest Way To Deploy Machine Learning Models: PyWebIO appeared first on Analytics Vidhya.

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Enhance Customer Value: Unleash Your Data’s Potential

The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.