Sat.Oct 03, 2020 - Fri.Oct 09, 2020

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Take Advantage Of Operational Metrics & KPI Examples – A Comprehensive Guide

datapine

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
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Ultimate Beginners Guide to Breaking into the Top 10% in Machine Learning Hackathons

Analytics Vidhya

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.

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DataOps: Managing the Process and Technology

David Menninger's Analyst Perspectives

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.

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A List Of Tools For Designing Your Business Model Canvas

BA Learnings

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
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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Doing Cloud Migration and Data Governance Right the First Time

erwin

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.

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Exploratory Data Analysis – The Go-To Technique to Explore Your Data!

Analytics Vidhya

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.

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The curse of Dimensionality

Domino Data Lab

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

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Making Machine Learning Deployment a Reality

Dataiku

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

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Data Science- The Go-To Tool for Solving Daily Problems and Taking Better Decisions

Analytics Vidhya

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.

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Sharp Venture Capitalists Make Remarkable Inroads With Alternative Data

Smart Data Collective

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.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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7 New Ways Cloudera Is Investing in Our Culture

Cloudera

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.

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Algorithmic Stakeholders: An Ethical Matrix for AI

Dataiku

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.

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The Hidden Gems of Python – Libraries that make Data Science a Cakewalk

Analytics Vidhya

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.

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Operational Finance in the Age of Covid-19: Time to Change the Basics?

Jet Global

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
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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

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

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Diversity and Inclusion in Data Science

Dataiku

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.

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Confusion Matrix Is No More A Confusion for Data Science Aspirants!

Analytics Vidhya

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.

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insightsoftware Announces New CEO Jim Triandiflou

Jet Global

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.

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.

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Salesforce to add Einstein Analytics AI to Tableau platform

CIO Business Intelligence

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.

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Data Dictionary, Business Glossary, or Catalog – Which One is Right For Your Business?

Octopai

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.

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Recurrent Neural Networks for Sequence Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction I have been thinking of writing something related to Recurrent Neural. The post Recurrent Neural Networks for Sequence Learning appeared first on Analytics Vidhya.

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Cloudera Supercharges the Enterprise Data Cloud with NVIDIA

Cloudera

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.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Microsoft Data Analyst Associate certification guide

CIO Business Intelligence

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.

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How To Interact With Power BI Data In A PowerPoint Presentation

Smart Data Collective

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.

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A Simple Explanation of K-Means Clustering

Analytics Vidhya

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.

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Amplify Intelligence With AI And Analytics — Forrester’s Virtual Data & Insights Forum, October 13–15

Boris Evelson

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 […].

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.

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Understanding Data Entities in Microsoft Dynamics 365

Jet Global

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

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Announcing Vantage on Google Cloud

Teradata

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.

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Predicting NYC AirBnB Rental Prices with TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Airbnb is an online marketplace that lets people rent out their. The post Predicting NYC AirBnB Rental Prices with TensorFlow appeared first on Analytics Vidhya.

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How to Sell Your Analytic App

Sisense

Blog. Time to make your data work for you. In Hacking the Analytic App Economy , we show you how to build a data monetization strategy that leverages your company’s data to open new revenue opportunities, drive value, and help you thrive in the new era of analytic apps. Adding analytics to your product offerings used to be a great way to differentiate yourself from your competitors, but as more companies jump on the analytics train, your company will have to work harder to prove its worth.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.