David Menninger's Analyst Perspectives
NOVEMBER 16, 2022
If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we also need to mind the gap between data and analytics. These worlds are often disconnected in organizations and, as a result, it limits their effectiveness and agility.
CIO Business Intelligence
NOVEMBER 17, 2022
By Milan Shetti, CEO Rocket Software In today’s fast-paced digital business world, organizations have become highly adaptive and agile to keep up with the ever-evolving demands of consumers and the market. This has pushed many organizations to accelerate their digital transformation efforts in order to remain competitive and better serve their constituents — and there is no sign of slowing down.
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Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. Before DevOps, software development teams, quality assurance (QA) teams, security, and operations would test the code for several […].
datapine
NOVEMBER 15, 2022
Table of Contents. 1) What Are Product Metrics? 2) Types Of Product Metrics. 3) Product Metrics Examples You Can Use. 4) Product Metrics Framework. Managing to develop an effective product roadmap goes beyond a product manager’s (PM) vision or intuition, even if these aspects matter as well. In an increasingly data-driven business world, the product management field isn’t exempt from this need.
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Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? Our Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. We discuss use cases, technology, and deployment options, top ten evaluation criteria and more.
DataKitchen
NOVEMBER 18, 2022
Part 3: Considering the Elements of Data Journeys. This is the third post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.
KDnuggets
NOVEMBER 18, 2022
The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Jen Stirrup
NOVEMBER 15, 2022
Information is pretty thin stuff, unless mixed with experience. – Clarence Day (1874–1935), American essayist. Why do organizations get stuck with their data? It is such a fundamental question. Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective.
DataKitchen
NOVEMBER 18, 2022
. Question: What is the difference between Data Quality and Observability in DataOps? Data Quality is static. It is the measure of data sets at any point in time. Data Observability is dynamic — it is the testing of data, integrated data, and tools acting upon data — as it is processed — that checks for flow rates and data errors.
KDnuggets
NOVEMBER 16, 2022
While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Flutter where F stands for Front- end, L stands for Language, U stands for UI layout, T stands for Time, T stands for Tools, E stands for Enable, and R stands for Rich. In other words, Flutter is a tool used in […]. The post Building Our Applications Using Flutter appeared first on Analytics Vidhya.
Advertiser: ZoomInfo
One of the biggest challenges for any B2B marketer is understanding your prospects’ next move — who is most likely to buy and when. Without these insights, marketing campaigns can feel more like guesswork, with high investment and little return. We’re here to tell you there’s a better way. By tracking buyers’ digital footprints and online activity, such as website visits, product reviews, and spikes in content consumption, you can engage prospects with a message that really resonates.
CIO Business Intelligence
NOVEMBER 15, 2022
During the opening keynote at the recent Gartner IT Symposium in Barcelona, Gartner analysts said that CIOs should look to its latest moniker, IT for sustainable growth , to drive business transformation by focusing on three key strategies: ‘revolutionary work’ to empower the workforce, ‘responsible investment’ to balance financial and sustainability objectives, and ‘resilient cybersecurity’ to support business outcomes “without constraining them”.
Smart Data Collective
NOVEMBER 12, 2022
Data has unquestionably had a huge impact on our lives. It is becoming more prolific as well, as 2.5 quintillion bytes of data are generated every day. Data is everything in today’s tech-driven world. Every company collects data , analyzes it, and makes its marketing and sales strategies based on the data’s results to attract more customers and increase sales and profits.
KDnuggets
NOVEMBER 14, 2022
In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems.
Analytics Vidhya
NOVEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Voting ensembles are the ensemble machine learning technique, one of the top-performing models among all machine learning algorithms. As voting ensembles are the most used ensemble techniques, there are lots of interview questions related to this topic that are asked in data […].
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Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core. No matter where you are in your analytics journey, you will learn about emerging trends and gather best practices from product experts.
CIO Business Intelligence
NOVEMBER 16, 2022
As a household name in household goods, with annual sales of $22 billion, Whirlpool has 54 manufacturing and tech research centers worldwide, and bursts with a portfolio that includes several familiar brands including KitchenAid, Maytag, Amana, Yummly, among others. The company employs 69,000 around the world as well and Danielle Brown, the company’s SVP and CIO, has a unique perspective on how best to lead the company’s digital transformation strategy.
Smart Data Collective
NOVEMBER 14, 2022
AI technology has radically changed the future of many industries and is changing the way companies do business forever. Most of the discussions on the benefits of AI focus on helping traditional businesses boost their bottom line. In our capitalist economy, this is not surprising. However, AI also offers many benefits for nonprofits. Dr. Lobna Karoui of the Forbes Nonprofit Council wrote an article on the many excellent benefits of AI.
KDnuggets
NOVEMBER 16, 2022
Based on the recent discussions with dozens of Fortune 500 data science teams, we can expect to see a continued spotlight on AI model quality in 2023.
Analytics Vidhya
NOVEMBER 17, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. However, there are many tasks for which we don’t have enough labeled data at our disposal. Moreover, the need for running deep learning models on […].
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A healthy data-driven culture minimizes knowledge debt while maximizing analytics productivity. Agile Data Governance is the process of creating and improving data assets by iteratively capturing knowledge as data producers and consumers work together so that everyone can benefit. It adapts the deeply proven best practices of Agile and Open software development to data and analytics.
CIO Business Intelligence
NOVEMBER 14, 2022
Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another.
Dataiku
NOVEMBER 15, 2022
It’s been four years since the last World Cup in 2018, when France won their second star on their crest. Even if you are not particularly interested in football, you might still find that World Cups are a fun moment where people share joy and excitement. I wanted to participate, but my knowledge would be limited to knowing Neymar and Kylian Mbappé's names.
KDnuggets
NOVEMBER 16, 2022
Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done.
Analytics Vidhya
NOVEMBER 18, 2022
This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain. In deep learning, we add several hidden layers to gather the most minute details to learn the data for […]. The post Analyzing and Comparing Deep Learning Models appeared first on Analytics Vidhya.
Speaker: Data Robot
Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere. Join our DataRobot experts to reflect on lessons learned from helping hundreds of enterprises grow their AI maturity over the past 5 years.
CIO Business Intelligence
NOVEMBER 17, 2022
As companies start to adapt data-first strategies, the role of chief data officer is becoming increasingly important, especially as businesses seek to capitalize on data to gain a competitive advantage. A role historically focused on data governance and compliance, the scope of responsibilities for CDOs has since grown, pushing them to become strategic business leaders , according to data from IDC.
Smart Data Collective
NOVEMBER 15, 2022
The COVID-19 pandemic fundamentally altered the marketing landscape , and in many ways for the better. While live streaming and video marketing have long been a part of a marketers toolkit, the prolonged lockdowns, social distancing, and travel bans over the course of the pandemic helped thrust it into the limelight, resulting in widespread adoption and since making it indispensable for business. .
KDnuggets
NOVEMBER 18, 2022
Read research papers on neural models, word embedding, language modeling, and attention & transformers.
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Until now, we have seen two different approaches to state space search. i.e., Uninformed Search and Informed Search Strategies. These search strategies compute the path to the goal state from the initial state. A* Search Strategy is one of the best strategies […].
Advertiser: ZoomInfo
In this eBook, we’ll run through real-world examples that show how RevOps teams can benefit from modern solutions for the access, management, and activation of their GTM data. Whether you need to improve lead response times, boost adoption of core tools, improve lead qualification, or target and automate your GTM motions, you’ll find examples of how revenue teams are solving some of the toughest problems in modern business.
CIO Business Intelligence
NOVEMBER 15, 2022
By Milan Shetti, CEO Rocket Software In today’s digital world, technology can make or break a company’s outcomes for its customers. As a result, all companies that use technology to meet or solve customer needs should consider themselves a tech company. In order to meet ever-changing customer demands, it’s critical that companies understand why and how to successfully modernize their tech stacks in order to provide a top-notch customer experience.
Smart Data Collective
NOVEMBER 15, 2022
Cloud technology is becoming more essential for modern organizations with each passing day. A report by Gartner shows that cloud technology has transformed modern business in previously unimaginable ways. The report indicated that 75% of organizations using the cloud have a “cloud first” policy, which is a much higher figure than previous versions of the report indicated.
KDnuggets
NOVEMBER 18, 2022
The post explains all the key elements of SQL that you must know as a data science practitioner.
Analytics Vidhya
NOVEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction TensorFlow is one of the most well-liked and promising deep learning frameworks for devising novel deep learning solutions. Given its popularity and wide usage in companies, startups, and business firms to automate things and develop new systems, it is imperative to have […].
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When your customers come to your app, what do they see: clunky, outdated dashboards or a sleek, modern interface? If your embedded analytics are looking stale, leverage these free graphics libraries to take your embedded analytics offerings above and beyond. This e-book details a number of graphics libraries plus a few bonus tools to modernize your embedded dashboards.
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