Dataiku

NOVEMBER 11, 2021

According to Gartner, “Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.”* While the global health crisis has certainly accelerated organizations’ focus on digital transformation, many continue to face roadblocks when it comes to execution — and often the failures tie back to data.

Digital Transformation 65

Digital Transformation Analytics IT 65

Analytics Vidhya

NOVEMBER 11, 2021

This article was published as a part of the Data Science Blogathon INTRODUCTION Investing is an important part of one’s life because Investing helps in making the present and future safety, it allows you to grow financially. Also, investing is a process of compounding profits. Investing money at the right place and right time helps in increasing […].

Data Science 395

Data Science Publishing Analytics Data mining 395

Juice Analytics

NOVEMBER 11, 2021

When it comes to using data, many organizations are reminiscent of the famous poem “Rime of the Ancient Mariner”: “Water, water, every where, Nor any drop to drink”. Data is everywhere, but it seldom seems to quench the thirst for smarter decisions. (As a side-note, this poem originated the phrase “albatross around your neck” — which is how a lot of CIOs and CTOs feel with both the data and expectations.

Dashboards 137

Dashboards Data Warehouse Reporting Technology 137

Smart Data Collective

NOVEMBER 11, 2021

We have frequently talked about the merits of using big data for B2C businesses. One of the reasons that we focus on these sectors is that there is so much data on consumers, which makes it easier to create a solid business model with big data. However, data analytics technology can be just as useful with regards to creating a successful B2B business.

B2B 109

B2B Data mining Big Data Marketing 109

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

KDnuggets

NOVEMBER 11, 2021

The notion of self-service BI tools caught an expectation that they could provide a magic formula for easily helping everyone understand all the data. But, such an end-result isn't occurring in practice. To identify a better approach, we need to take a step back and determine what problem is actually trying to be solved.

IT 101

IT Analytics 101

Data Virtualization

NOVEMBER 11, 2021

In the last few years, data virtualization technology has experienced tremendous growth, emerging as a key component for enabling modern data architectures such as the logical data warehouse, data fabric, and data mesh. Gartner recently named it “a must-have data. The post Beware of “Straw Man” Stories: Clearing up Misconceptions about Data Virtualization appeared first on Data Virtualization blog.

Data Warehouse 52

Data Warehouse Data Architecture Technology IT 52

datapine

NOVEMBER 11, 2021

Table of Contents. 1) Benefits Of Business Intelligence Software. 2) Top Business Intelligence Features. a) Data Connectors Features. b) Analytics Features. c) Dashboard Features. d) Reporting Features. For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

KDnuggets

NOVEMBER 11, 2021

Also: How to Build Strong Data Science Portfolio as a Beginner; Data Science Portfolio Project Ideas That Can Get You Hired (Or Not); Exclusive: OpenAI summarizes KDnuggets.

Data Science 80

Data Science 80

Alation

NOVEMBER 11, 2021

Today’s organizations are rapidly embracing the cloud. This is mostly due to cost-saving and data sharing benefits. As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

KDnuggets

NOVEMBER 11, 2021

From the mind to the computer, make websites using your imagination!

Deep Learning 123

Deep Learning Machine Learning 123

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

KDnuggets

NOVEMBER 11, 2021

The notion of self-service BI tools caught an expectation that they could provide a magic formula for easily helping everyone understand all the data. But, such an end-result isn't occurring in practice. To identify a better approach, we need to take a step back and determine what problem is actually trying to be solved.

IT 77

IT Analytics 77

KDnuggets

NOVEMBER 11, 2021

Also: How to Build Strong Data Science Portfolio as a Beginner; Data Science Portfolio Project Ideas That Can Get You Hired (Or Not); Exclusive: OpenAI summarizes KDnuggets.

Data Science 71

Data Science 71

KDnuggets

NOVEMBER 11, 2021

Join Caserta and fellow data and analytics leaders, Nov 17, as they help guide you on how, what and why you need to transform your data ecosystem to cloud-based modern analytics.

Analytics 65

Analytics Data Strategy Strategy 65

KDnuggets

NOVEMBER 11, 2021

From the mind to the computer, make websites using your imagination!

Deep Learning 83

Deep Learning Machine Learning 83

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