Tue.Jul 14, 2020

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8 Business Analytics Books to Begin Your Journey

Analytics Vidhya

Introduction The global spread of the internet has made the availability of knowledge easy. Every information is at the grasp of our palms. As. The post 8 Business Analytics Books to Begin Your Journey appeared first on Analytics Vidhya.

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IT and Data Science: Why Don't They Understand Each Other?

Dataiku

While folks that work on information technology (IT) and data science teams likely have very different job functions, one commonality is that both teams need to have an understanding of the greater business in order to effectively collaborate with key stakeholders, define success, and continuously improve. Why, though, don’t these teams always understand each other?

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The Mainframe is a Modern Platform

TDAN

Mainframes continue to excel at traditional tasks such as high-speed transaction processing and running large batch workloads. Mainframes also can easily handle large amounts of data—multiple terabytes—such as is needed for analytical processing and machine learning. Indeed, the mainframe supports both traditional and modern applications and data management requirements, making it a key component of […].

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How to Create a Data Visualization Style Guide to Tell Great Stories (Part 2)

Depict Data Studio

Did you see Sara DeLong’s post on Why You Need to Create a Data Visualization Style Guide to Tell Great Stories? You’ll love Part 2. –Ann. — So you decided your organization needs a style guide to save lots your team lots of time when creating charts, enhance brand cohesion, and improve trust with your stakeholders. In my previous post I described how to identify if your team needs a Data Visualization Style Guide, how to secure buy-in from leadership and your coworkers,

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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The Importance of Data in UX Design

Teradata

The days are gone when defining a user experience was limited to the choice of designers. Now data plays a more important role in the design process than ever before.

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What DBAs Should Do Before Taking a Vacation

TDAN

Everybody wants to take a relaxing holiday from time to time, whether you are a veteran DBA standing watch over million dollar mission-critical database systems or a jack-of-all-trades who maintains all of your small organization’s SQL Servers, Windows Servers, and all of the other corporate IT assets. Of course, there are those few individuals who […].

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Deep Learning With Dataiku Data Science Studio

Dataiku

Deep learning is one of those often mentioned yet not quite tangible topics for most people. If you’re unfamiliar with what deep learning is, check out this blog post or this deep learning guide. Don’t worry, we’ll wait for you to return.

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All in the Data: The Data Will Not Govern Itself

TDAN

There is a direct relationship between the value the gets from its data, the trust your organization has in its data and how formally that data is being governed. This is not new news. In fact, this has always been the case. Value comes from the ability to use the data to make good decisions, […].

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Delighted to be named one of the Top Global 100 Data Visionaries!

Jen Stirrup

I have been named as one the Global Top 100 Data Visionaries: These are the leaders who are vividly innovating with analytics without compromising on trust and privacy. The list, compiled by HotTopics.ht and Truata , aims to discover and showcase the top 100 leaders globally who are using data to unlock value, lead innovation and transform their organizations through privacy by design.

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Using IoT for Machine Monitoring

TDAN

The Internet of Things (IoT) is a vast subject that implements its unique solutions for convenient operability in many industries as well as in our daily lives. IoT is a huge industrial platform that uses traditional methods to perform production activities. Industries look to adopt IoT concepts to grow their businesses and enhance productivity. IoT […].

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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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WEBCAST: Digital Engagement of Employees | Exploring Newer Data & Analytics Opportunities – Video

bridgei2i

WEBCAST: Digital Engagement of Employees | Exploring Newer Data & Analytics Opportunities. The post WEBCAST: Digital Engagement of Employees | Exploring Newer Data & Analytics Opportunities – Video appeared first on Home Page – BRIDGEi2i: AI for the Digital Enterprise | Analytics and AI solutions for Enterprises.

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Relationships Are Not Verbs–Part One

TDAN

In conceptual (“ontological”) data modeling, relationships describe the structure of the connections between pairs of entity types. It is therefore inappropriate to use the part of speech that describes actions—that is to say, verbs—to describe them. Rather, since a model is intended to describe simply “what exists,” the structure should be represented by prepositions and […].

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WEBCAST: Digital Engagement of Employees | Exploring Newer Data & Analytics Opportunities

bridgei2i

WEBCAST: Digital Engagement of Employees | Exploring Newer Data & Analytics Opportunities. Enterprises are at various stages of maturity in their digital transformation journey, and COVID-19 has further underscored the importance of AI and analytics across industries and geographies. The new normal will encompass a digital outlook and a re-definition of work, workforce, and the workplace.

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Data Professional Introspective: EDM Education – Part 1 Why, What & Who

TDAN

In my previous TDAN.com column, “Piloting the Plane – EDM Program and Project Management,” I explored perspectives, structures, cultures, approaches and activities needed to establish and successfully manage an organization-wide Enterprise Data Management (EDM) program. In Part 1, we are going to focus on why EDM Education is needed, what learning objectives it should deliver, […].

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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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Optimize your business intelligence solution on IBM Cloud Pak for Data

IBM Big Data Hub

Follow @IBMData

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Building Financial Models to Help Your Corporate Budgeting

Jet Global

Building financial models is a key function of the financial planning and analysis (FP&A) group and provides a powerful tool for analyzing a diverse set of possible scenarios. Budget modeling is perhaps the most widely applicable form of financial modeling. The budget model allows your organization to better anticipate what’s truly important in your business.

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Most Popular Integrated Development Environments (IDEs) Used by Data Scientists

Business Over Broadway

Results of a worldwide survey of data professionals, the top used Integrated Development Environments (IDEs) are: Jupyter (73% have used), Visual Studio (31%), RStudio (30%), PyCharm (29%) and Notepad++ (22%). . Integrated Development Environments (IDEs) helps programmers consolidate different aspects of software development. An IDE typically consists of: 1) source code editor, 2) build automation tools and 3) a debugger.