datapine

MAY 2, 2019

Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. But while doing so is easy, a great dashboard still requires a certain amount of strategic planning and design thinking. Knowing who your audience is will help you to determine what data you need. Knowing what story you want to tell (analyzing the data) tells you which data visualization type to use.

Visualization 173

Visualization Dashboards Sales KPI 173

CDW Research Hub

MAY 2, 2019

Believe it or not, there is a formula for business transformation and realizing the best possible business outcomes that stay pretty consistent. That formula consists of three key variables: the right environment, the right tools, and the right talent. It can be argued that the right talent—the savvy, innovative individuals who work for you—is the most crucial variable of all.

Risk 40

Risk Technology Reporting Enterprise 40

Analytics Vidhya

MAY 2, 2019

Introduction What is one of the most important and core concepts of statistics that enables us to do predictive modeling, and yet it often. The post Statistics 101: Introduction to the Central Limit Theorem (with implementation in R) appeared first on Analytics Vidhya.

Statistics 299

Statistics Predictive Modeling Modeling Analytics 299

O'Reilly on Data

MAY 2, 2019

Sandra Wachter argues that a right to reasonable inferences could protect against new forms of discrimination. Continue reading Privacy, identity, and autonomy in the age of big data and AI.

Big Data 136

Big Data 136

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.

Experimentation

Smart Data Collective

MAY 2, 2019

Large companies around the world are investing in big data. Big data has been especially important for optimizing their marketing campaigns. However, a number of small businesses are getting in on the action too. Local marketing agencies have discovered that SEO is more dependent on big data than ever. They are developing more data driven solutions to offer better search marketing strategies.

Big Data 111

Big Data Optimization Modeling Deep Learning 111

O'Reilly on Data

MAY 2, 2019

Chris Taggart explains the benefits of “white box data” and outlines the structural shifts that are moving the data world toward this model. Continue reading The unstoppable rise of white box data.

Modeling 114

Modeling 114

O'Reilly on Data

MAY 2, 2019

Mike Tidmarsh looks at how data and AI are radically reshaping the world of marketing communications. Continue reading Rise of the (advertising) machines.

Advertising 118

Advertising Marketing 118

erwin

MAY 2, 2019

Enterprise architect is a common job title within IT organizations at large companies, but the term lacks any standard definition. Ask someone on the business side what their organization’s enterprise architects do, and you’ll likely get a response like, “They work with IT,” which is true, but also pretty vague. What the enterprise architects at your organization do depends in large part on how the IT department is organized.

Enterprise 95

Enterprise Digital Transformation Consulting Modeling 95

O'Reilly on Data

MAY 2, 2019

Shingai Manjengwa shares insights from teaching data science to 300,000 online learners. Continue reading Building data science capacity in your organization.

Data Science 114

Data Science 114

Smart Data Collective

MAY 2, 2019

Small businesses are looking to big data to get an edge against their more established competitors. Big data is becoming more important in the new economy. Industries are becoming more consolidated and traditional lenders are more averse to funding unproven start-ups. Without a stellar big data strategy in place, many businesses are doomed to the day they open their doors.

Big Data 77

Big Data Marketing Sales Strategy 77

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.

Management

O'Reilly on Data

MAY 2, 2019

David Boyle shares lessons on how analysts can harness data and creativity to build partnerships. Continue reading Combining creativity and analytics.

Analytics 114

Analytics 114

bridgei2i

MAY 2, 2019

Bangalore, 2nd May 2019. BRIDGEi2i CEO and Co-Founder, Prithvijit Roy was featured in Analytics India Magazine’s 10 Most Influential Analytics Leaders in India – 2019. This is an exceptional milestone as Jit has been honored with this recognition for four years in a row. Analytics India Magazine brings out its annual list of veterans based on the scale of exceptional work done in data science and analytics.

Contextual Data 76

Contextual Data Analytics Consulting Data-driven 76

Teradata

MAY 2, 2019

Ritu Jain explains the value of the Teradata Real Time Interaction Manager (RTIM) and why personalized customer experiences are so critical for marketers.

Interactive 81

Interactive Management Marketing 81

John Wheeler

MAY 2, 2019

Gartner clients are consistently searching for ways to improve their risk management programs to deliver greater value to the enterprise. Whether it is to bolster performance in support of new digital transformation efforts or to reduce spend associated with bloated governance, risk and compliance (GRC) bureaucracies, the need for better solutions is real.

Technology 75

Technology Risk Management Risk Digital Transformation 75

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.

Testing

Tim Mitchell

MAY 2, 2019

One of the most common questions I am asked about ETL configuration is how much memory SSIS requires. When configuring a new instance of SQL Server running SSIS, or adding SSIS to an existing SQL Server installation, it is important to understand how SSIS uses memory, and what factors in your package design will impact the amount of memory used. The post How Much Memory Does SSIS need?

IT 58

IT 58

3AG Systems

MAY 2, 2019

Everyone knows that maintenance is critical for running a well-oiled machine (almost by definition here). The cost of broken equipment goes beyond just parts and labor, especially when it impacts production throughput. At the same time, equipment maintenance has an associated opportunity cost. As far as your operation is concerned, the impact on output is the same whether a machine is down because it’s broken versus being down for repairs.

Measurement 45

Measurement Strategy Reporting IT 45

Jen Stirrup

MAY 2, 2019

The European DatSci & AI Awards in collaboration with the BDVA & CeADAR are now accepting entries! . I’m delighted to announce that I am on the Judging Panel this year , along with people that I admire. The Awards recognizes the gold standard for Data Science & AI in Industry, Education and Social Responsibility and connects the Data Science community across Europe.

Data Science 44

Data Science Sales Business Analytics Technology 44

Daydreaming Numbers

MAY 2, 2019

The problem with using so many colors in a chart is it introduces a sense of complexity. People perceive more aesthetic designs as easier to use. They tend to be more engaged with a chart if it appears pretty. The post How to fix a multi-colored stacked bar chart? appeared first on Daydreaming Numbers.

IT 40

IT 40

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.

Risk

Jen Stirrup

MAY 2, 2019

The European DatSci & AI Awards in collaboration with the BDVA & CeADAR are now accepting entries! . I’m delighted to announce that I am on the Judging Panel this year , along with people that I admire. The Awards recognizes the gold standard for Data Science & AI in Industry, Education and Social Responsibility and connects the Data Science community across Europe.

Data Science 40

Data Science Sales Business Analytics Technology 40

Data Virtualization

MAY 2, 2019

Some still think it makes sense to compare ETL tools with data virtualization servers. Let me be clear, it really doesn’t.

Data Integration 40

Data Integration IT Big Data 40

The Data School

MAY 2, 2019

Miscellaneous chapters related to teaching people SQL

40

40

Cloudera

MAY 2, 2019

Last month, I moderated The Women in Big Data panel hosted by DataWorks Summit and sponsored by Women in Big Data. This was a well-attended event with five amazing guest speakers – Hilary Mason , Tina Rosario , Violeta Ciurel , Ana Gillan and Devon Edwards Joseph. The theme for the discussion was “Top technology trends women and men business leaders need to be aware of”.

Big Data 93

Big Data Digital Transformation Data Science Data-driven 93

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Strategy

Smarten

MAY 2, 2019

Advanced Analytics for Business Users is Key to Business Success! Most businesses are choosing advanced analytics for business users and there is a good reason for that! Even the largest businesses rarely have an unlimited budget for data scientists and the trend toward data democratization has revealed the value in enabling business users with a data and analytics platform that is easy and mobile and can provide clear, concise results for planning, issue resolution and management of results at

Analytics 0

Analytics Predictive Analytics Predictive Modeling Forecasting 0