Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below.

KDD 81

KDD Knowledge Discovery Data mining Statistics 81

Smart Data Collective

APRIL 8, 2020

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates. Big data and data warehousing.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

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. Without big data in predictive analytics, these descriptive models can’t offer a competitive advantage or negotiate future outcomes.

Predictive Analytics 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

CIO Business Intelligence

SEPTEMBER 14, 2023

Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles. They visualize and design an organization’s enterprise data management framework. Careers, Data Management, Data Mining, Data Science, Staff Management

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. Candidates are also required to have at least a BA or MA in information systems, computer science, accounting, business administration, engineering, mathematics, sciences, or statistics.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

Cloudera

MAY 15, 2019

He is a successful architect of healthcare data warehouses, clinical and business intelligence tools, big data ecosystems, and a health information exchange. The Enterprise Data Cloud – A Healthcare Perspective. Check out this list below to see some of them in action: Comcast.

Enterprise 47

Enterprise Data Lake Data mining IoT 47

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

AUGUST 9, 2022

Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles. They visualize and design an organization’s enterprise data management framework. Becoming a data engineer.

Analytics 128

Analytics Data Science Statistics Unstructured Data 128

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

MAY 16, 2022

The more effectively a company uses data, the better it performs. As a data analytics company, we have been observing a trend among certain large enterprises who are looking for real-time data streaming for analytics. Data mining. Visual Analytics and Data Visualization.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

CIO Business Intelligence

MARCH 24, 2023

Whereas data governance is about the roles, responsibilities, and processes for ensuring accountability for and ownership of data assets, DAMA defines data management as “an overarching term that describes the processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control, and purge data.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Today, big data is about business disruption.

IT 317

IT Statistics KPI Data-driven 317

datapine

MARCH 31, 2022

Being numbers and data-driven: There are many expectations when it comes to working with BI and data analytics. This will also require you to do some tedious work at times such as fixing formatting issues, labeling mistakes, tracking missing data, among others. SAS BI: SAS can be considered the “mother” of all BI tools.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Enterprise Artificial Intelligence. Source: TCS).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Smart Data Collective

SEPTEMBER 2, 2021

New advances in data analytics and data mining tools have been incredibly important in many organizations. We have talked extensively about the benefits of using data technology in the context of marketing and finance. However, big data can also be invaluable when it comes to operations management as well.

Big Data 104

Big Data Cost-Benefit Data-driven Data mining 104

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 143

Business Intelligence Dashboards Data mining OLAP 143

BI-Survey

OCTOBER 23, 2019

New real-time security intelligence solutions are combining big data and advanced analytics to correlate security events across multiple data sources, providing early detection of suspicious activities, rich forensic analysis tools and highly automated remediation workflows. The most important current IT trends (n=332).

Big Data 49

Big Data Analytics Manufacturing Digital Transformation 49

FineReport

JUNE 24, 2021

Business intelligence solutions are a whole combination of technology and strategy, used to handle the existing data of the enterprises effectively. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

IBM Big Data Hub

APRIL 15, 2024

This transformation heavily relies on data virtualization, which serves as a central hub, connecting real-time data streams from various sources, such as sensor data and equipment logs, and eliminating data silos and fragmentation. This layer acts as a shield, hiding the complexities of data storage management.

Analytics 69

Analytics Optimization Data-driven Metrics 69

IBM Big Data Hub

MARCH 14, 2024

The solution: IBM databases on AWS To solve for these challenges, IBM’s portfolio of SaaS database solutions on Amazon Web Services (AWS), enables enterprises to scale applications, analytics and AI across the hybrid cloud landscape. This allows you to scale all analytics and AI workloads across the enterprise with trusted data. 

Cost-Benefit 81

Cost-Benefit Metadata Optimization Management 81

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Dig into AI.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

FineReport

JULY 18, 2022

There exists a variety of data analysis tools for you to choose from. In order to assist you in selecting the one that best fits your company’s needs, let’s examine several best data analytics tools that are popular in 2022. How to Choose Data Analysis Tools. It also has a commercial version for enterprises.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

Jet Global

JUNE 29, 2020

Advanced analytics—which includes data mining, big data, and predictive data analytics—affords you the ability to gather deeper, more strategic, and ultimately more actionable insights from your data.

Analytics 98

Analytics Reporting Cost-Benefit Data mining 98

Cloudera

NOVEMBER 30, 2017

We simply can not grow as an enterprise without the support, voice, and participation of our users and constituents. They hold a series of well-attended industry events that focus advancing the art of modern analytics and big data. However, rarely are our customers raising their hands to speak to us. Six Strategies.

Strategy 40

Strategy Big Data Data mining Visualization 40

datapine

NOVEMBER 27, 2019

Accordingly, predictive and prescriptive analytics are by far the most discussed business analytics trends among the BI professionals, especially since big data is becoming the main focus of analytics processes that are being leveraged not just by big enterprises, but small and medium-sized businesses alike.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

All of the above points to embedded analytics being not just the trendy route but the essential one. Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Ideally, your primary data source should belong in this group.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52