CIO Business Intelligence

SEPTEMBER 16, 2021

As a leading business intelligence tool, Power BI offers business users power and flexibility in dealing with data. The Microsoft tool provides everything from Excel integration to enterprise reporting and an increasing number of AI features that simplify getting deeper insights. In fact, the latest Forrester Wave report on augmented BI goes as far as to say “it is hard not to consider Power BI as your top choice for an enterprise BI platform.

Business Intelligence 140

Business Intelligence Reporting Enterprise IT 140

Analytics Vidhya

SEPTEMBER 14, 2021

This article was published as a part of the Data Science Blogathon R programing language was developed for statistical computing and graphics which makes it one of the desired candidates for Data Science and Analysis. Even though it might not hold much popularity among the newcomers in the field, many veterans and seasoned data scientists favour […].

Visualization 289

Visualization Statistics Data Science Publishing 289

O'Reilly on Data

SEPTEMBER 15, 2021

In June 2021, we asked the recipients of our Data & AI Newsletter to respond to a survey about compensation. The results gave us insight into what our subscribers are paid, where they’re located, what industries they work for, what their concerns are, and what sorts of career development opportunities they’re pursuing. While it’s sadly premature to say that the survey took place at the end of the COVID-19 pandemic (though we can all hope), it took place at a time when restrictions were loose

Machine Learning 363

Machine Learning Statistics Reporting Consulting 363

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization. Rapidminer Studio is its visual workflow designer for the creation of predictive models.

Data Science 341

Data Science Data Lake Data mining Deep Learning 341

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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?

Business Intelligence

DataKitchen

SEPTEMBER 17, 2021

Below is our final post (5 of 5) on combining data mesh with DataOps to foster innovation while addressing the challenges of a data mesh decentralized architecture. We see a DataOps process hub like the DataKitchen Platform playing a central supporting role in successfully implementing a data mesh. DataOps excels at the type of workflow automation that can coordinate interdependent domains, manage order-of-operations issues and handle inter-domain communication.

Testing 237

Testing Data Architecture Measurement Visualization 237

Analytics Vidhya

SEPTEMBER 15, 2021

This article was published as a part of the Data Science Blogathon Introduction Data is present everywhere. Any action we perform generates some or the other form of data. But this data might not be present in a structured form. A beginner starting with the data field is often trained for datasets in standard formats like […]. The post How to Extract Tabular Data from Doc files Using Python?

Data Science 400

Data Science Publishing Analytics Structured Data 400

Juice Analytics

SEPTEMBER 13, 2021

With the popularity of our list of 20 Best Data Storytelling Examples , we thought it worth finding some more data stories for inspiration. The good examples in this list demonstrate how to combined data visualization, interactivity, and classic storytelling. They show the importance of a clear message, supporting data and analysis, and a narrative flow to engage the reader.

Visualization 140

Visualization Interactive Data Processing Marketing 140

DataKitchen

SEPTEMBER 14, 2021

The post What Should Enterprises Do to Offset Future Technology Disruption? first appeared on DataKitchen.

Technology 244

Technology Enterprise 244

Analytics Vidhya

SEPTEMBER 12, 2021

This article was published as a part of the Data Science Blogathon Map, Filter, and Reduce are paradigms of functional programming. What is functional programming? Functional programming, as the name suggests, computes through the evaluation of functions. They allow us to write simpler, shorter code with faster implementation methods. In functional programming, code relies entirely on […].

Data Science 376

Data Science Publishing Analytics 376

Smart Data Collective

SEPTEMBER 16, 2021

You must pay attention the data points that matter! Long gone are the days when digital marketing was based on gut feel and what looked good. The industry knows data is critical to a successful strategy. The hard thing is knowing which data points to pay attention to – separating the signal from the noise. With so much of marketing being quantifiable nowadays, it can be easy to get lost analyzing the wrong data and wasting time which could be better spent elsewhere.

Marketing 134

Marketing Strategy Metrics ROI 134

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Data-driven

TDAN

SEPTEMBER 14, 2021

A recent experience brought home to me the critical importance of good quality data in even the simplest of processes, particularly as processes become more automated and data driven. Before I went on vacation last month, a new team member joined Castlebridge. Equipment for them was ordered to be shipped to the office, and I […].

Data-driven 123

Data-driven Data Quality Metadata Data Strategy 123

Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. But it requires you to live on the edge. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. Edge computing relies on squeezing the power and functionality of a data center into a micro site as close to data sources as possible to enable real-time tasks.

IoT 119

IoT Analytics Internet of Things Data Lake 119

Analytics Vidhya

SEPTEMBER 13, 2021

This article was published as a part of the Data Science Blogathon Spark is a cluster computing platform that allows us to distribute data and perform calculations on multiples nodes of a cluster. The distribution of data makes large dataset operations easier to process. Here each node is referred to as a separate machine working on […]. The post Beginner’s Guide To Create PySpark DataFrame appeared first on Analytics Vidhya.

Data Science 372

Data Science Publishing Analytics 372

Smart Data Collective

SEPTEMBER 13, 2021

Many organizations and enterprises are constantly under threat of a cyber attack. Although data may be lost in a hacking incident, it can also be due to other intentional or accidental reasons. For example, you cannot rule out physical data theft, human error, computer viruses, faulty hardware, power failure, and natural disasters. One way to mitigate the loss of vital information is to have a sound backup system, which will improve the chances of recovering the data.

Risk 127

Risk Strategy Enterprise Finance 127

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.

Marketing

Dataiku

SEPTEMBER 14, 2021

Dataiku revolutionizes how companies work with their data, enabling any user — from beginners with no programming knowledge to experienced data scientists with advanced knowledge and complex data flows — to make their work more transparent and efficient.

Data Enablement 103

Data Enablement 103

Teradata

SEPTEMBER 12, 2021

Groupon is modernizing with Vantage on AWS to better match its data & analytics with demands of its global business. The Cloud allows Groupon to better leverage infrastructure dollars, support more technology projects and capture opportunity.

Technology 98

Technology Analytics IT 98

Analytics Vidhya

SEPTEMBER 16, 2021

Objective Understand what is Cross-sell using Vehicle insurance data. Learn how to build a model for cross-sell prediction. Introduction If you are a Machine learning enthusiast or a data science beginner, it’s important to have a guided journey and also exposure to a good set of projects.In this article, We will walk through a beginner […].

Machine Learning 367

Machine Learning Insurance Data Science Modeling 367

Smart Data Collective

SEPTEMBER 16, 2021

Big data has been a pivotal asset in modern businesses. Major tech companies like Google regularly use big data to offer higher quality services to their customers. Google is one of the companies that has always used big data to its full effectiveness. They have used big data in their Gmail services to offer better features to their customers. In the past, they used new forms of big data technology to offer more robust security.

Big Data 117

Big Data Data-driven Data Processing Technology 117

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.

Business Intelligence

Dataiku

SEPTEMBER 15, 2021

Now, we know we would be nowhere without our 450+ customers around the globe who leverage Dataiku to systemize their use of data and AI, making it everyday behavior for everyone and powering collective success. But, today, our gratitude for our diverse customer base takes on a whole new level of meaning.

IT 98

IT 98

FineReport

SEPTEMBER 16, 2021

As a project manager, you may often face questions such as “How is our project progressing? What will happen next?” Companies always pay attention to whether they can deliver products before the deadline. Project dashboard, also known as project management dashboard, helps show the current project progress like a car dashboard and provide feedback to the team.

Dashboards 98

Dashboards Manufacturing Digital Transformation Forecasting 98

Analytics Vidhya

SEPTEMBER 14, 2021

This article was published as a part of the Data Science Blogathon Introduction Data Science is a team sport, we have members adding value across the analytics/data science lifecycle so that it can drive the transformation by solving challenging business problems. We have multiple team members in a data science team: data engineers who create the […].

Data Science 348

Data Science Publishing Analytics IT 348

Smart Data Collective

SEPTEMBER 15, 2021

In a rapidly digitizing world, data is a crucial thing to both individuals and organizations. One of the recent developments in digital technology is streaming data in real-time. Data streaming is all about processing and analyzing data that keeps on flowing from a particular source to a destination in almost real-time. No matter the size and scale, a business can now reap irrefutable benefits because of the real-time data streaming option.

IoT 113

IoT Business Objectives Manufacturing Software 113

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.

Data-driven

TDAN

SEPTEMBER 14, 2021

What is the work of data management and analysis for if we don’t properly gather, utilize, and listen to the information we say we’re seeking? While it is reasonable to believe in the burden of proof, endless data collection with no clear direction in mind to address related phenomena is a waste of everyone’s time. […].

Data Collection 96

Data Collection Management IT Business Intelligence 96

DataRobot

SEPTEMBER 14, 2021

As we see from countless examples, the demand for AI is at a fever pitch across every industry. Becoming AI-driven is no longer really optional. As AI continues to advance at such an aggressive pace, solutions built on machine learning are quickly becoming the new norm. To meet the demands of the modern world, we have to experiment fast, collaborate effectively, and drive positive value for organizations and individuals everywhere.

Machine Learning 94

Machine Learning Experimentation Modeling Visualization 94

Analytics Vidhya

SEPTEMBER 11, 2021

This article was published as a part of the Data Science Blogathon Overview When Apache Cassandra first came out, it included a command-line interface for dealing with thrift. Manipulation of data in this manner was inconvenient and caused knowing the API’s intricacies. Although the Cassandra query language is like SQL, its data modeling approaches are entirely […].

Modeling 333

Modeling Data Science Publishing Analytics 333

Smart Data Collective

SEPTEMBER 13, 2021

What is value investing? It is when an investor gets stock at cheaper prices than the actual value of the stock. However, value investing is challenging for most people. Successful investors find suitable assets like post pandemic dividends and monitor their stocks. In addition, they make the right decisions to ensure their projects are successful. Understanding the characteristics, which define undervalued stocks, can help you maximize your profits.

Big Data 113

Big Data Forecasting Cost-Benefit Machine Learning 113

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.

Sales

TDAN

SEPTEMBER 14, 2021

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed.” That makes sense. I think the […].

Data Lake 91

Data Lake Data Warehouse IT Data Strategy 91

Srividya Sridharan

SEPTEMBER 12, 2021

(co-authored with Research Associate, Fayzan Sabri) End of summer and beginning of Fall is an exciting, yet tumultuous time for both parents and kids alike. Summer camps have ended, vacation time is over and children have returned to school. Employees and firms heave a heavy sigh to acclimatize to an evolving hybrid work life. As […].

Data Science 84

Data Science 84

Analytics Vidhya

SEPTEMBER 15, 2021

This article was published as a part of the Data Science Blogathon Introduction Boosting is an ensemble modelling technique that was first presented by Freund and Schapire in the year 1997, since then, Boosting has been a prevalent technique for tackling binary classification problems. These algorithms improve the prediction power by converting a number of weak […].

Data Science 338

Data Science Publishing Modeling Analytics 338

Smart Data Collective

SEPTEMBER 17, 2021

New developments in data technology have led to some major changes in digital technology. One of the biggest changes has been the need for greater data security. In order to appreciate the importance of implementing a data-driven digital security strategy, you must consider the weak points in your cybersecurity plan. This entails recognizing the need to protect your IP address as much as possible.

Data-driven 109

Data-driven Strategy Technology IT 109

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

Modeling