Sat.Sep 11, 2021 - Fri.Sep 17, 2021

article thumbnail

10 Power BI mistakes to avoid

CIO Business Intelligence

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.

article thumbnail

Programming in R – From Variables to Visualizations

Analytics Vidhya

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 […].

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

2021 Data/AI Salary Survey

O'Reilly on Data

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

article thumbnail

Rapidminer Platform Supports Entire Data Science Lifecycle

David Menninger's Analyst Perspectives

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.

article thumbnail

Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

article thumbnail

What Should Enterprises Do to Offset Future Technology Disruption?

DataKitchen

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

article thumbnail

How to Extract Tabular Data from Doc files Using Python?

Analytics Vidhya

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?

More Trending

article thumbnail

11 Examples of Good & Bad Data Storytelling

Juice Analytics

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.

article thumbnail

DataOps is the Factory that Supports Your Data Mesh

DataKitchen

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
article thumbnail

The power of Python Map, Reduce and Filter – Functional Programming for Data Science

Analytics Vidhya

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 […].

article thumbnail

5 Data Points that Your 2022 Digital Marketing Strategy Must Include

Smart Data Collective

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 139
article thumbnail

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?

article thumbnail

Living on the Edge: How to Accelerate Your Business with Real-time Analytics

Cloudera

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 125
article thumbnail

Data is Risky Business: Return to Sender

TDAN

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 […].

article thumbnail

Cross-Sell Prediction Using Machine Learning in Python

Analytics Vidhya

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 […].

article thumbnail

Data Loss: Hazards, Risks and Strategies for Prevention

Smart Data Collective

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 134
article thumbnail

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.

article thumbnail

How I Found the Best Ramen Restaurant for My French Friend Using NLP

Dataiku

This is my friend, Louis Takumi. He is French-Japanese and one of the newest Dataikers who has joined the company this year. He is the very first data scientist who will work in our soon-to-open Tokyo office — but what makes him really stand out is his passion for ramen. When he signed the contract to officially come on board, he asked me, “Makoto, which ramen restaurant do you recommend in Tokyo?”.

22
article thumbnail

Groupon

Teradata

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.

article thumbnail

Beginner’s Guide To Create PySpark DataFrame

Analytics Vidhya

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.

article thumbnail

Gmail is Using Big Data to Integrate a new VoIP feature

Smart Data Collective

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 124
article thumbnail

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.

article thumbnail

Troubleshooting Issues and Getting Help With Dataiku

Dataiku

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.

article thumbnail

Project Dashboard: Drive You To The Business Success

FineReport

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.

article thumbnail

Four Data Engineering Fundamentals All Data Scientists Must Know

Analytics Vidhya

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 […].

article thumbnail

Great Benefits of Leveraging Big Data in Investing

Smart Data Collective

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 121
article thumbnail

The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

article thumbnail

What Makes Dataiku Different

Dataiku

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
article thumbnail

Data’s Gender Gap: Keeping Ourselves in Check

TDAN

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. […].

article thumbnail

AdaBoost Algorithm – A Complete Guide for Beginners

Analytics Vidhya

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 […].

article thumbnail

Deciphering the Pros & Cons of Real-Time Data Streaming

Smart Data Collective

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 121
article thumbnail

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

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

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.

article thumbnail

Advancing AI Cloud with Release 7.2

DataRobot

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.

article thumbnail

Differences Between Data Lake and Data Warehouses

TDAN

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 […].

article thumbnail

How to Apply K-Fold Averaging on Deep Learning Classifier

Analytics Vidhya

This article was published as a part of the Data Science Blogathon In this article, we will be learning about how to apply k-fold cross-validation to a deep learning image classification model. Like my other articles, this article is going to have hands-on experience with code. This article will initially start with the theory part then […]. The post How to Apply K-Fold Averaging on Deep Learning Classifier appeared first on Analytics Vidhya.

article thumbnail

Five Online Visibility Guidelines that Incorporate Big Data

Smart Data Collective

Big data is playing a vital role in modern branding. Companies need to know how to utilize their online branding strategy effectively if they hope to get the most bang for their buck. Big data can be essential for reaching your branding goals. Utilizing Big Data to Get the Most Out of Your Digital Media Strategy. You need to know how to use big data effectively if you want to create a successful digital marketing strategy.

Big Data 117
article thumbnail

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.