datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

CIO Business Intelligence

APRIL 25, 2022

An education in data science can help you land a job as a data analyst , data engineer , data architect , or data scientist. Here are the top 15 data science boot camps to help you launch a career in data science, according to reviews and data collected from Switchup.

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Rocket-Powered Data Science

SEPTEMBER 20, 2021

The way that I explained it to my data science students years ago was like this. The data scientists need to find the right data as inputs for their models — they also need a place to write-back the outputs of their models to the data repository for other users to access. What is a semantic layer?

Data Science 285

Data Science Forecasting Business Intelligence Sales 285

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smarten

NOVEMBER 23, 2023

“These tools enable data literacy and digital transformation and increase team productivity and creativity, encouraging power users and those with average technology skills to dive into analytics ad use fact-based decision-making to improve market positioning.”

Publishing 62

Publishing Marketing Analytics Predictive Modeling 62

CIO Business Intelligence

JUNE 7, 2022

More specifically: Descriptive analytics uses historical and current data from multiple sources to describe the present state, or a specified historical state, by identifying trends and patterns. In business analytics, this is the purview of business intelligence (BI). Data analytics and data science are closely related.

Data Analytics 129

Data Analytics Diagnostic Analytics Management Analytics 129

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Smarten

OCTOBER 31, 2022

If your business can leverage traditional business intelligence tools AND advanced augmented analytics, it can provide the features and tools its users need without being forced to choose and without forcing its team to use a solution that is not ideal for their role or their needs.

Key Performance Indicator 67

Key Performance Indicator Analytics Cost-Benefit Predictive Modeling 67

Smarten

JULY 26, 2022

Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.” Installation is easy. Original Post : Smarten Augmented Analytics Now Available on Mobile App!

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Access to Flexible, Intuitive Predictive Modeling. Apply Data Filters. Forecasting. Regression.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

APRIL 12, 2023

About Smarten The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Smarten

DECEMBER 3, 2023

Perhaps your business is considering an augmented analytics solution, or your enterprise already has some version of business intelligence or analytics and it wishes to upgrade or transition to a more beneficial solution. What is Augmented Analytics and How Has it Evolved? What is self-service analytics?

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. imputation of missing values). ref: [link].

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

Smarten

JUNE 17, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

Smarten

MARCH 13, 2024

For a number of years, Gartner and other technology research and analysis firms have predicted and monitored the growth of this phenomenon. In fact, Gartner predicted that, ‘…40% of data science tasks will be automated, resulting in increased productivity and broader usage by citizen data scientists.’

Analytics 52

Analytics Predictive Modeling Strategy Enterprise 52

CIO Business Intelligence

MAY 9, 2024

And they should have a proficiency in data science and analytics to effectively leverage data-driven insights and develop AI models. This includes skills in statistical analysis, data visualization, and predictive modeling.

Risk Management 127

Risk Management Risk Cost-Benefit Technology 127

Smarten

APRIL 19, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Smarten

NOVEMBER 8, 2022

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

DataRobot

JANUARY 13, 2022

But they often don’t have enough data scientists with the full range of domain expertise to realize its full value. Data scientists typically come equipped with skills in three key areas: mathematics and statistics, data science methods, and domain expertise. DataRobot is just such a platform.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Juice Analytics

MARCH 11, 2021

However, the data was essentially stored in old copies of the paper magazine, not a format that was conducive to delivering insights to their target audience. (3) People don’t want data, they want solutions. How are you going to turn that data into a solution? She crafts the interface and interactions to make the data intuitive.

Predictive Modeling 128

Predictive Modeling Visualization Reporting Interactive 128

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. Are you ready to take your organization’s data communications skills to the next level? This training program is about classic data visualization principles? Course 1: Data Visualization Design Principles .

Visualization 40

Visualization Consulting Dashboards Reporting 40

CIO Business Intelligence

OCTOBER 13, 2023

Data scientist As companies embrace gen AI, they need data scientists to help drive better insights from customer and business data using analytics and AI. For most companies, AI systems rely on large datasets, which require the expertise of data scientists to navigate.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

Birst BI

MAY 29, 2018

The business intelligence (BI) assembly line is broken, with adoption or utilization rates of only 30 percent in a typical organization, according to Gartner [1]. Figure 3: “Business Intelligence and Analytics” of Davenport and Harris’ Competing on Analytics. The root of the BI problem hasn’t changed.

Slice and Dice 74

Slice and Dice Analytics Business Intelligence Machine Learning 74

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. What if some of these data science tasks could be automated using AI, increasing data science productivity to tackle more AI use cases?

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge. What is text mining? How does text mining work?

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

AWS Big Data

MARCH 7, 2023

It includes business intelligence (BI) users, canned and interactive reports, dashboards, data science workloads, Internet of Things (IoT), web apps, and third-party data consumers. Popular consumption entities in many organizations are queries, reports, and data science workloads.

Analytics 69

Analytics Data Warehouse Data Lake Metadata 69

CIO Business Intelligence

AUGUST 15, 2023

From healthcare to manufacturing, this year’s award winners span a wide range of industries, proving once again the impact information technology has in reshaping business and society at large. The solution operates similar to a GPS system, but it is localized within the shop floor, is more secure, uses less energy, and costs less than GPS.

IT 93

IT Manufacturing IoT Cost-Benefit 93

Alation

APRIL 14, 2022

A useful feature for exposing patterns in the data. Visual Profiling. Supports the ability to interact with the actual data and perform analysis on it. The vision of big data freed organizations to capture more data sources at lower levels of detail and in vastly greater volumes. Parametrization. Pattern Matching.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

CIO Business Intelligence

MAY 10, 2022

Marketing data-integration CDPs: These CDPs focus on data operations, with powerful data manipulation and governance capabilities, but with non-technical, user-friendly interfaces. Segment is a data-integration CDP designed to collect data and then distribute it in real time to other systems. Treasure Data CDP.

Advertising 106

Advertising Interactive Marketing Data Integration 106

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20