datapine

OCTOBER 7, 2020

Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company. Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals. By establishing clear operational metrics and evaluate performance, companies have the advantage of using what is crucial to stay competitive in the market, and that’s data.

KPI 269

KPI Metrics Sales Visualization 269

Analytics Vidhya

OCTOBER 7, 2020

This article was published as a part of the Data Science Blogathon. Introduction Exploratory Data Analysis(EDA) is one of the most underrated and under-utilized. The post Exploratory Data Analysis – The Go-To Technique to Explore Your Data! appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics Visualization 400

David Menninger's Analyst Perspectives

OCTOBER 7, 2020

For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions. The result was battle-tested integrations that could withstand the test of time.

Technology 337

Technology Management Testing Data Integration 337

BA Learnings

OCTOBER 4, 2020

Are you looking to create a business model canvas? As with most artefacts these days, you don’t need to start from scratch. There are a number of tools you can employ to brainstorm the details of your business model and present it in a professional format. The following tools have been provided as an initial starting point. Canvanizer Strategyzer Miro BMCanvas Conceptboard Vizzlo VisualParadigm CNVS Do you know of any other tools that should be on this list?

Modeling 173

Modeling IT 173

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

Optimization

erwin

OCTOBER 8, 2020

More and more companies are looking at cloud migration. Migrating legacy data to public, private or hybrid clouds provide creative and sustainable ways for organizations to increase their speed to insights for digital transformation, modernize and scale their processing and storage capabilities, better manage and reduce costs, encourage remote collaboration, and enhance security, support and disaster recovery.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

Analytics Vidhya

OCTOBER 5, 2020

This article was published as a part of the Data Science Blogathon. Overview Finishing in the top 10% in Machine Learning Hackathons is a. The post Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Data Science Publishing Analytics 400

Domino Data Lab

OCTOBER 7, 2020

Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Danger of Big Data. Big data is the rage. This could be lots of rows (samples) and few columns (variables) like credit card transaction data, or lots of columns (variables) and few rows (samples) like genomic sequencing in life sciences research. The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of sampl

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

Smart Data Collective

OCTOBER 8, 2020

The University of Hawaii reports that big data is shaking up the venture capital industry in unbelievable ways. Venture capitalists are finding new ways to leverage alternative data effectively for much higher yields. Big data plays a role in shifting the risk-reward calculus in the favor of venture capitalists. Venture capital is a high risk, high reward game.

Big Data 137

Big Data Machine Learning Forecasting Data-driven 137

Analytics Vidhya

OCTOBER 5, 2020

This article was published as a part of the Data Science Blogathon. Introduction As the data science community grows, Python is seen dominating the. The post The Hidden Gems of Python – Libraries that make Data Science a Cakewalk appeared first on Analytics Vidhya.

Data Science 400

Data Science Publishing Analytics Machine Learning 400

Dataiku

OCTOBER 6, 2020

While a majority of AI’s business value comes from deploying models operationally, a significant percentage of data science projects never actually make it out of the lab to even start making a real-world impact. Why is that so? In this recap from a recent webinar with GigaOm Research featuring Dataiku’s Lead Data Scientist Katie Gross , we break down some of the key barriers to machine learning deployment and what data teams (notably data scientists) have the power to do to help prevent this fr

Machine Learning 128

Machine Learning Data Science Modeling IT 128

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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

Cloudera

OCTOBER 8, 2020

As Cloudera offices around the world continue to cope with the impact of COVID-19, we have worked hard to ease stress and adapt to remote working. People are the heart of our company and we’re investing in creative, new ways to make every Clouderan feel valued and appreciated. Clouderans are superstars at work and at home, and burn-out is unhealthy for employees, their families, and the company.

Management 105

Management IT 105

Octopai

OCTOBER 8, 2020

Have you come across the data ‘buzzwords’ data dictionary, business glossary, and catalog? As you nod your head confidently, can you actually explain what each tool does? Although they may sound almost the same, they each provide a different benefit to your company. These tools refine data which helps you better understand trends, insights, and even locate errors.

Metadata 98

Metadata Reporting Business Intelligence Management 98

Analytics Vidhya

OCTOBER 4, 2020

This article was published as a part of the Data Science Blogathon. Overview K-means clustering is a very famous and powerful unsupervised machine learning. The post A Simple Explanation of K-Means Clustering appeared first on Analytics Vidhya.

Machine Learning 400

Machine Learning Data Science Publishing Analytics 400

Dataiku

OCTOBER 5, 2020

I had a great time earlier this week talking to the EGG audience at Dataiku about the past and future of algorithmic mistakes and harms. Broadly speaking, I introduced the concept of a “Weapon of Math Destruction” (WMD) as a predictive algorithm that is high stakes, opaque, and unfair. I gave examples from public education, hiring, the justice system, and credit.

124

124

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Data-driven

Jet Global

OCTOBER 8, 2020

Covid-19 has had a hugely disruptive impact on operational finance. The term ‘operational finance’ encapsulates the critical activities associated with order to cash, procure to pay, fixed assets, close, consolidation, and reporting. Invariably, these activities have seen added stress in 2020. Not only have finance teams had to close companies’ books remotely, but they’ve also been required to provide the insight and information needed for some extremely complex decision-making, and continuously

Finance 98

Finance Reporting Forecasting Uncertainty 98

Sisense

OCTOBER 6, 2020

Blog. Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways organizations and data teams tackle the challenges of this new world to help their companies and their cu

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Analytics Vidhya

OCTOBER 8, 2020

This article was published as a part of the Data Science Blogathon. Introduction Fastai is a popular open-source library used for learning and practicing. The post Develop and Deploy an Image Classifier App Using Fastai appeared first on Analytics Vidhya.

Data Science 398

Data Science Publishing Analytics Unstructured Data 398

Dataiku

OCTOBER 7, 2020

Reports of AI gone wrong abound, and Responsible AI has started to take a foothold in business — Gartner has even added Responsible AI as a new category on its Hype Cycle for Emerging Technologies. Yet when talking about solutions, increasing diversity and making data science a more inclusive field unfortunately don’t often top the list. Noelle Silver, Head of Instruction, Data Science, Analytics, and Full Stack Web Development at HackerU , is looking to change that.

Data Science 105

Data Science Reporting Technology Analytics 105

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

Jet Global

OCTOBER 6, 2020

RALEIGH, N.C. – October 6, 2020 – insightsoftware, a global provider of enterprise software solutions for the Office of the CFO, today announced that Jim Triandiflou has been appointed the new CEO effective October 1, 2020. “We are incredibly proud of the growth insightsoftware has achieved over the past two years. Attracting over 20,000 clients worldwide connecting to 140+ ERPs and EPMs, insightsoftware has become the leader in ERP and EPM reporting software.

Forecasting 98

Forecasting Software Finance Reporting 98

Cloudera

OCTOBER 5, 2020

Cloudera Data Platform Powered by NVIDIA RAPIDS Software Aims to Dramatically Increase Performance of the Data Lifecycle Across Public and Private Clouds. Cloudera announced today a new collaboration with NVIDIA that will help Cloudera customers accelerate data engineering, analytics, machine learning and deep learning performance with the power of NVIDIA GPU computing across public and private clouds.

Enterprise 98

Enterprise Machine Learning Deep Learning Software 98

Analytics Vidhya

OCTOBER 5, 2020

This article was published as a part of the Data Science Blogathon. Introduction After we have trained our model and have predicted the outcomes, The post Confusion Matrix Is No More A Confusion for Data Science Aspirants! appeared first on Analytics Vidhya.

Data Science 395

Data Science Publishing Modeling Analytics 395

Dataiku

OCTOBER 9, 2020

This is part two of a series of articles, "Deep Beers Playing With Deep Recommendation Engines Using Keras.".

Visualization 97

Visualization 97

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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.

Reporting

CIO Business Intelligence

OCTOBER 6, 2020

When Salesforce completed its $15.7 billion acquisition of Tableau Software in August 2019, IT leaders were left wondering what the largest acquisition in Salesforce history might mean. A bit more than a year later, Tableau has provided some insight into its plans, announcing that Salesforce's Einstein Analytics will be rebranded Tableau CRM and Einstein's advanced analytics capabilities will be integrated with Tableau's other offerings.

Analytics 97

Analytics Sales Software Reporting 97

Smart Data Collective

OCTOBER 5, 2020

Business intelligence is a crucial component in the chase to be on the top in this competitive corporate sphere. As a venture grows, it becomes tedious to keep track of the analytical data of the enterprise which, in turn, forms a road-block to decision making. Employing an analytical system in a data-driven business can help it to discover useful trends, information, conclusions and elevated decision making.

Interactive 93

Interactive Visualization Dashboards Business Intelligence 93

Analytics Vidhya

OCTOBER 5, 2020

This article was published as a part of the Data Science Blogathon. Introduction As a programmer who is engaged in the field of AI. The post Most Common Feature Selection Filter Based Techniques used in Machine Learning in Python appeared first on Analytics Vidhya.

Machine Learning 394

Machine Learning Data Science Publishing Analytics 394

Boris Evelson

OCTOBER 5, 2020

They say data is the new oil. They say data is the new currency. They say data is the key competitive differentiator. All true. But reality is sobering: Only 7% of firms report advanced, insights-driven practices. Respondents to the same survey claimed that less than half (49%) of all business decisions in their enterprise are […].

Data-driven 90

Data-driven Analytics Reporting Enterprise 90

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.

Business Intelligence

CIO Business Intelligence

OCTOBER 6, 2020

Earlier this year, Microsoft announced it would retire 15 certifications and 44 exams, including MCSA: BI Reporting, which validated data analysts' expertise using Power BI and Excel to visualize data via dashboards and reports. The move is the culmination of the company's 2018 decision to focus on role-based certifications such as data analyst, data engineer, and data scientist.

Dashboards 96

Dashboards Visualization Reporting IT 96

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. Microsoft offers several native reporting tools for D365 F&SCM: SQL Server Reporting Services (SSRS) is useful for writing simple high-volume reports based on Microsoft Dynamics data, but it’s n

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Analytics Vidhya

OCTOBER 6, 2020

This article was published as a part of the Data Science Blogathon. Introduction How can Data Science, besides helping you professionally, improve the quality. The post Data Science- The Go-To Tool for Solving Daily Problems and Taking Better Decisions appeared first on Analytics Vidhya.

Data Science 394

Data Science Publishing Analytics 394

Teradata

OCTOBER 5, 2020

Teradata Vantage on Google Cloud is now generally available! Vantage on Google Cloud is an as-a-service offer in which customers can get the most analytic value from their data. Read more.

Analytics 82

Analytics 82

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