CIO Business Intelligence

MARCH 31, 2022

There are many practical reasons driving this movement away from the data center as a hallmark of information technology. But for all the undeniable reasons driving the transition to the cloud, there are a few arguments that don’t fit the narrative, a few rationales for bucking the trend and keeping your own data center running.

Data Processing 106

Data Processing IT Software Reporting 106

DataRobot Blog

MARCH 10, 2022

These initiatives utilize interconnected devices and automated machines that create a hyperbolic increase in data volumes. This type of growth has stressed legacy data management systems and makes it nearly impossible to implement a profitable data-centered solution. Time-Series Forecasting?—? Factory Monitoring?—?

Manufacturing 52

Manufacturing IoT Machine Learning Forecasting 52

FineReport

MAY 19, 2020

Financial analysts perform the functions of management accounting, analyze the financial data, analyze the past, control the present, and plan for the future, thereby helping enterprises to improve operating efficiency and maximize the interests of shareholders. The answer is of course No. From Udemy. Many people also have a question.

Reporting 95

Reporting Dashboards Risk Management Enterprise 95

The Unofficial Google Data Science Blog

NOVEMBER 19, 2015

We will continue to bring you posts from the range of data science activities at Google. We briefly highlight some of the things we look for in data scientists we hire at Google and give tips on ways to prepare. At Google we’re always looking for talented people, and we’re interested in hiring great data scientists.

Statistics 75

Statistics Data Science Machine Learning Sales 75

Sisense

MAY 27, 2019

That means there’s one Hell of a lot of data running through your organization. So, given the choice, which analytics job title should you choose: A data engineer or a data scientist? Digging Deep For Data Diamonds – The Data Engineer. Data’s like diamonds. That’s the job of the data engineer.

Statistics 75

Statistics Machine Learning Visualization Big Data 75

CIO Business Intelligence

FEBRUARY 7, 2023

Black women in technology are burnt out and impatient with an IT industry slow to change. is made up of Black women. is made up of Black women. Some professionals said they had heard this phrase used directly about them, via a third-party, or through peers when sharing their own experiences. You haven’t got what it takes. I’ve heard that directly.”

Technology 144

Technology Advertising Software Management 144

Ontotext

JANUARY 21, 2021

The Financial Industry Business Ontology (FIBO) is a standard that is being developed and published by the Enterprise Data Management Council that attempts to capture business domain knowledge using sophisticated knowledge representation techniques and linked open data technologies. In this way, FIBO can give meaning to any data (e.g.,

Modeling 72

Modeling Finance Technology Insurance 72

bridgei2i

JANUARY 25, 2022

The Basic Guide to Data Science at the Workplace. The Basic Guide to Data Science at the Workplace. In this podcast episode, AI enthusiasts Anirudh and Janci talk about how sincere curiosity and passion for learning can help anyone understand data science and become an active contributor. And now you’re a data scientist.

Data Science 52

Data Science Machine Learning Data-driven Statistics 52

FineReport

DECEMBER 10, 2019

Why We Need Data Cleaning?. Data analysis is a time-consuming task, but are you prepared before the data analysis, and have you omitted the important step: data cleaning? In the process of data analysis, data cleaning is such a preliminary preparation after data extraction.

Data mining 98

Data mining Data Quality Statistics Measurement 98

Occam's Razor

OCTOBER 21, 2013

That of course will mean more referring keyword data will disappear. At the moment it is not clear whether Bing, Baidu, Yandex and others will move to similarly protect users’ search privacy; if and when they do, the result will be loss of even more keyword-level user behavior data. Alternatives For Keyword Data Analysis.

Optimization 154

Optimization Reporting Experimentation Metrics 154

Data Science 101

NOVEMBER 8, 2023

Drawing straws in my head, I’m going to have to go with my recent promotion from an analytics/development role (big data marketing segmentation would maybe be the best way to describe it) to a product management role… But it wasn’t the promotion that was significant. I have felt a lot more confident since that moment.

Data Science 59

Data Science Visualization Management Data Processing 59

CIO Business Intelligence

OCTOBER 7, 2022

With data increasingly vital to business success, business intelligence (BI) continues to grow in importance. With a strong BI strategy and team, organizations can perform the kinds of analysis necessary to help users make data-driven business decisions. BI encompasses numerous roles.

Business Intelligence 145

Business Intelligence Data Warehouse Visualization Dashboards 145

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

AWS Big Data

JUNE 29, 2023

Amazon Kinesis Data Analytics makes it easy to transform and analyze streaming data in real time. In this post, we discuss why AWS recommends moving from Kinesis Data Analytics for SQL Applications to Amazon Kinesis Data Analytics for Apache Flink to take advantage of Apache Flink’s advanced streaming capabilities.

Data Analytics 73

Data Analytics Analytics IoT Data Lake 73

Alation

JANUARY 17, 2023

Chances are, you’ve heard of the term “modern data stack” before. In this article, I will explain the modern data stack in detail, list some benefits, and discuss what the future holds. What Is the Modern Data Stack? It is known to have benefits in handling data due to its robustness, speed, and scalability.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

AWS Big Data

OCTOBER 18, 2023

Data is the lifeblood of any organization, and the importance of protecting it cannot be overstated. Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards). Starting with OpenSearch v2.5

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Snapshot Management Dashboards Data Processing 80

CONTACT Software

FEBRUARY 19, 2019

The idea of platforms for automatic data analysis comes at just the right time. However, data science is not an area where you can magically get ahead with a tool or even a platform. A look at data science online tutorials from top providers like Coursera underlines the importance of these – well – down-to-earth tools.

Data Science 40

Data Science Statistics Machine Learning Deep Learning 40

Data Science and Beyond

OCTOBER 15, 2017

Aspiring data scientists and other visitors to this site often repeat the same questions. How do I become a data scientist? Before we get into it, have you thought about why you want to become a data scientist? Why should I become a data scientist? Do you know what data science is? It depends on your situation.

Data Science 71

Data Science Deep Learning Machine Learning Data-driven 71

Domino Data Lab

AUGUST 8, 2019

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. Introduction. Ever heard of it before?

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. While MapReduce remains a fundamental tool, many interesting analyses require more than it can offer.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Domino Data Lab

AUGUST 22, 2019

Data scientists and researchers require an extensive array of techniques, packages, and tools to accelerate core work flow tasks including prepping, processing, and analyzing data. Utilizing NLP helps researchers and data scientists complete core tasks faster. Preprocessing Natural Language Data.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

DataRobot

FEBRUARY 22, 2021

DataRobot is excited to announce the graduation of the first class of our 10X Applied Data Science Academy. The founding of the 10X Academy is part of DataRobot’s commitment to developing automation that improves the productivity of data scientists while democratizing access to AI for non-data scientists.

Data Science 52

Data Science Modeling Software Data Integration 52

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. You can of course listen and watch the webinar from this link. It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Data Science and Beyond

JANUARY 8, 2017

All formulas are based on numbers that the authors call constants , despite the fact that numbers such as the average customer lifespan or retention rate are clearly not constant in this context (since they’re estimated from the data and used as projections into the future). Python and Bayesian ).

Statistics 100

Statistics Modeling Predictive Modeling Marketing 100