Sat.Jan 04, 2020 - Fri.Jan 10, 2020

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Data Virtualization is the CDO’s Best Friend

Data Virtualization

According to CIO magazine, the first chief data officer (CDO) was employed at Capital One in 2002, and since then the role has become widespread, driven by the recent explosion of big data. The CDO role has a variety of.

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Utilize The Effectiveness Of Professional Executive Dashboards & Reports

datapine

Without big data analytics, companies are blind and deaf, wandering out onto the Web like deer on a freeway. – Geoffrey Moore, Author of Crossing the Chasm & Inside the Tornado. In the digital age, brands, businesses, and organizations have a wealth of information at their fingertips: a level of insight that if leveraged correctly, not only has the power to offer a real competitive edge but provides the potential to innovate, inspire and create a well-oiled commercial machine that continues

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Top 5 must-have Data Science skills for 2020

KDnuggets

The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.

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Blending Art and Science: Using Data to Forecast and Manage Your Sales Pipeline

Sisense

Blog. Nowadays, sales is both science and art. Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. This process helps sales managers manage and invest in their team and anticipate opportunities that lead to exceeding revenue goals. Why sales and analysts should work together.

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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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A Comprehensive Learning Path to Understand and Master NLP in 2020

Analytics Vidhya

Introduction Google “NLP jobs” and a remarkable number of relevant searches show up. There are businesses spinning up around the world that cater exclusively. The post A Comprehensive Learning Path to Understand and Master NLP in 2020 appeared first on Analytics Vidhya.

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The Innovator’s Dilemma in Financial Services Data

Corinium

Life at the top of the food chain is more precarious than it seems for enterprises in the financial services industry.

More Trending

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5 Ways Data Modeling Is Critical to Data Governance

erwin

Enterprises are trying to manage data chaos. They might have 300 applications, with 50 different databases and a different schema for each one. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. 1.

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Metrics Are The Characters of Data Stories

Juice Analytics

I like to think that the hero in your data story is your audience. The hero is the person who starts with conflict and, through the narrative journey, is transformed to resolve this conflict. That’s what you want the data story to accomplish for your audience — start with a question and move your audience (hero) to actions that will resolve the question.

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Data Science Fails: The Transparency Sweet Spot

DataRobot

Does your organization apply appropriate human resources governance when hiring staff? Large enterprises tend to follow the same basic processes for hiring human staff. First, hiring managers write a job description, including the tasks the position requires and the skills and attributes of a suitable candidate. Job vacancies are posted, sometimes recruiters are also used, and people submit their resumes for consideration.

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The Book to Start You on Machine Learning

KDnuggets

This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.

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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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SQL Query Order of Execution

Sisense

Blog. SQL is one of the analyst’s most powerful tools. In SQL Superstar , we give you actionable advice to help you get the most out of this versatile language and create beautiful, effective queries. Creating order. The SQL order of execution defines the order in which the clauses of a query are evaluated. Some of the most common query challenges I run into could be easily avoided with a clearer understanding of the SQL order of execution, sometimes called the order of operations.

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AutoAI: Synchronize ModelOps and DevOps to drive digital transformation

IBM Big Data Hub

AutoAI, a feature of IBM Watson Studio, helps application developers and data scientists work in concert to increase yields for model and app investments, and orchestrate ModelOps with DevOps.

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Towards Better Visualizations: Part II - How to be More Effective

Darkhorse

In that last post , we introduced the concept of The Visualization Frontier. It’s a simple rubric to measure the effectiveness of your data visualization. We defined effectiveness as the combination of clarity and engagement. The closer you are to the red line, the more effective you are. (We hinted at the possibility that the red line is not the same for everyone - that it’s tied to your capability as a data visualizer.

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7 Resources to Becoming a Data Engineer

KDnuggets

An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.

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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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The SAP Reporting Strategy You Need for 2020

Jet Global

Reporting is considered a necessary evil by a lot of people. Without clear, accurate, and comprehensive reports, there is no way to know how your company is performing. Yet the amount of time, input, and resources that reporting requires means it can drag down performance in the process. Companies can’t operate blindly, but they also can’t spend days, or even weeks, pouring information into static spreadsheets.

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The Difference between AI and ML

Data Science 101

What is Artificial Intelligence (AI)? Artificial Intelligence has nearly as many definitions as people you ask. Here are two intriguing definitions I have heard. “Anything Computers cannot do … yet!” appears in many places , original source unknown. This is actually a pretty good definition, but it is always changing so it is hard to evaluate and compare.

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A Sales Dashboard Tells You What People Like Most to Buy for Christmas 2019

FineReport

Christmas has just passed. What gifts did you receive and what did you give this Christmas? Are you curious about what are the top selling items for Christmas 2019, and what are the most popular gifts people want? The answers to these questions are in the Christmas sales dashboard I made below. Let’s take a look. This Christmas dashboard is an online sales dashboard that I made with data from the Internet.

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7 Steps to a Job-winning Data Science Resume

KDnuggets

A resume plays a key role in bagging that dream data science job. We break down the nuances of a job-winning data science resume so that you can go ahead and transform your own resume.

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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.

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The SAP Reporting Strategy You Need for 2020

Jet Global

Reporting is considered a necessary evil by a lot of people. Without clear, accurate, and comprehensive reports, there is no way to know how your company is performing. Yet the amount of time, input, and resources that reporting requires means it can drag down performance in the process. Companies can’t operate blindly, but they also can’t spend days, or even weeks, pouring information into static spreadsheets.

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Answers to Common Questions About Sisense for Cloud Data Teams

Sisense

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. New name, same commitment to empowering data teams. Earlier this month, we made a decision to officially rename Periscope Data as Sisense for Cloud Data Teams. This change is a symbol of the strength of the combined product, which has evolved to a point where tools for advanced data analysts and line-of-business

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Data Lakes vs. Data Warehouses

DataCamp

Understand the differences between the two most popular options for storing big data.

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An Introductory Guide to NLP for Data Scientists with 7 Common Techniques

KDnuggets

Data Scientists work with tons of data, and many times that data includes natural language text. This guide reviews 7 common techniques with code examples to introduce you the essentials of NLP, so you can begin performing analysis and building models from textual data.

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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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Free Data Strategy Email Course

Data Science 101

Are you an organization new to data science? Trying to implement the latest methods in Artificial Intelligence might not be the best way to start. It is better to start with a plan. Identify where you are and where you want to be. I call this a data strategy. I just released a free Data Strategy Email Course. Hopefully, this will help get your organization off to a smoother start with data science and artificial intelligence.

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Your Reference for Accelerating ERP Financial Processes

Jet Global

As one of the world’s foremost business consulting firms, people take notice when McKinsey decides to change how it evaluates companies. At the beginning of 2013, evaluations were based on 37 criteria, each considered to be a key indicator of organizational health. By the end of 2014, McKinsey consultants were including two new criteria considered crucial for 21st-century businesses: speed and flexibility.

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Python vs. R for Data Science: What’s the Difference?

DataCamp

Here’s how to determine when to use the two most popular languages for data science: Python and R.

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How to Convert a Picture to Numbers

KDnuggets

Reducing images to numbers makes them amenable to computation. Let's take a look at the why and the how using Python and Numpy.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

Embark on a transformation journey into the heart of the data ecosystem! This webinar is your gateway to a deeper comprehension of the foundations that drive the data industry and will equip you with the knowledge needed to navigate the evolving landscape. Delve into the diverse use cases where data analytics plays a pivotal role. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.

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The Power of Human Intelligence via Experience Management

Timo Elliott

As Picasso once said: “Computers are useless: they can only give you answers!”. Success in business isn’t about answering questions, it’s about asking the right questions in the first place. Or to put it another way: the most important thing in business is… knowing what’s important! Thankfully, that’s an area where artificial intelligence cannot and will not ever rival human intelligence.

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Panorama Consulting Group: 4 Tips for Improving ERP Financial Reporting

Jet Global

Wes Gillette, VP of Product Management, insightsoftware discusses the problems most Finance professionals face with ERP financial reporting. Business intelligence (BI) tools have become an enterprise software staple, and it’s easy to see why: the ability to explore, visualize and share business data has made BI solutions a bedrock upon which faster, better decisions can be made.

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Put our Knowledge and Writing Skills to Work for you

Peter James Thomas

As well as consultancy, research and interim work , peterjamesthomas.com Ltd. helps organisations in a number of other ways. The recently launched Data Strategy Review Service is just one example. Another service we provide is writing White Papers for clients. Sometimes the labels of these are white [1] as well as the paper. Sometimes Peter James Thomas is featured as the author.

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10 Python Tips and Tricks You Should Learn Today

KDnuggets

Check out this collection of 10 Python snippets that can be taken as a reference for your daily work.

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Your Expert Guide to CX Orchestration & Enhancing Customer Journeys

Speaker: Keith Kmett, Principal CX Advisor at Medallia

Join Keith Kmett, Principal CX Advisor, in this new webinar that will focus on: Understanding CX Orchestration Fundamentals: Gain a solid understanding of what CX orchestration is, its significance in the customer experience landscape, and how it plays a crucial role in shaping customer journeys. This includes the key concepts, strategies, and best practices involved in CX orchestration. 🔑 Connection to Customer Journey Maps: How to effectively integrate customer journey mapping into the