The Data Administration Newsletter

JUNE 15, 2022

“Information is the oil of the 21st century, and analytics is the combustion engine,” says Peter Sondergaard, former Global Head of Research at Gartner. Given that the global big data market is forecast to be valued at $103 billion in 2027, it’s worth noticing. As the amount of data generated […]. And he has a point.

Data Mining 98

Data Mining Data Mining Data Mining Big Data 98

Pickl AI

FEBRUARY 21, 2023

Accordingly, data collection from numerous sources is essential before data analysis and interpretation. Data Mining is typically necessary for analysing large volumes of data by sorting the datasets appropriately. What is Data Mining and how is it related to Data Science ? What is Data Mining?

Data Mining 52

Data Mining Data Mining Data Mining Data Scientist 52

Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

Data Models 245

Data Models Data Modeling Business Intelligence Business Intelligence 245

Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. Introduction Business Intelligence (BI) tools are essential for organizations looking to harness data effectively and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

IBM Journey to AI blog

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 94

Data Science Analytics Analytics Data Scientist 94

Smart Data Collective

NOVEMBER 11, 2021

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. What is the purpose of your signage?

Big Data 132

Big Data Big Data Data Mining Data Mining 132

Smart Data Collective

APRIL 8, 2020

This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Data warehousing also facilitates easier data mining, which is the identification of patterns within the data which can then be used to drive higher profits and sales.

Data Warehouse 144

Data Warehouse Big Data Big Data Big Data Analytics 144

Data Science Dojo

JANUARY 16, 2023

Put more concretely, data analysis involves sifting through data, modeling it, and transforming it to yield information that guides strategic decision-making. For businesses, data analytics can provide highly impactful decisions with long-term yield. The first step, therefore, is to identify the particular problem.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

Alation

MARCH 29, 2022

Business intelligence has a long history. Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first. With remote and hybrid work on the rise, the ability to locate and leverage data and expertise — wherever it resides — is more critical than ever.

Business Intelligence 96

Business Intelligence Business Intelligence Data Silos Citizen Data Scientist 96

Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science. material flow analysis) for manufacturing and supply chain.

Cloud Data 147

Cloud Data Data Science Business Intelligence Business Intelligence 147

IBM Journey to AI blog

JULY 24, 2023

This has led to an increase in the importance of IT operations analytics (ITOA), the data-driven process by which organizations collect, store and analyze data produced by their IT services. ITOA turns operational data into real-time insights. billion business.

Analytics 69

Analytics Analytics Predictive Analytics Big Data 69

Dataconomy

APRIL 27, 2023

OLTP systems require both regular full backups and constant incremental backups to ensure that data can be quickly restored in the event of a problem. OLTP vs OLAP OLTP and online analytical processing ( OLAP ) are two distinct online data processing systems, although they share similar acronyms.

Database 159

Database Data Scientist Data Mining Data Mining 159

Data Science Blog

FEBRUARY 28, 2023

nicht abgeschlossen wurde, wurden verschiedene Daten aus dem Web-Analytics-System des Online-Shops untersucht. Das Ziel ist es, die Conversion-Rate zu steigern, also dafür zu sorgen, dass Besucher:innen, die sich im Online-Shop befinden und dort etwas in den Warenkorb legen, auch einen Kauf tätigen.

Data Science 264

Data Science Clustering Analytics Analytics 264

Pickl AI

JUNE 25, 2023

From small start-ups to multinational corporations, companies across the globe are leveraging the power of analytics to drive productivity, optimize their operations and make informed decisions. In this blog, we are going to unfold the role of business analytics with examples and its scope in the future.

Analytics 52

Analytics Analytics Predictive Analytics Machine Learning 52

Data Science Blog

MARCH 30, 2023

Diese Anwendungsfälle sind jedoch analytisch recht trivial und bereits mit einfacher BI (Business Intelligence) oder dedizierten Analysen ganz ohne Process Mining bereits viel schneller aufzuspüren. Audit Analytics und Betrugserkennung gehören zu den häufigsten Anwendungsgebieten.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

Dataconomy

JUNE 13, 2023

At its core, decision intelligence involves collecting and integrating relevant data from various sources, such as databases, text documents, and APIs. This data is then analyzed using statistical methods, machine learning algorithms, and data mining techniques to uncover meaningful patterns and relationships.

Power BI 103

Power BI Artificial Intelligence Artificial Intelligence Data Analysis 103

ODSC - Open Data Science

FEBRUARY 8, 2023

This is where the BigQuery data warehouse comes into play. Digital marketing is full of metrics that are part of the analytics routine. BigQuery operation principles Business intelligence projects presume collecting information from different sources into one database. BigQuery for Marketing: What Makes it Special?

Database 97

Database Data Science Big Data Big Data 97

Smart Data Collective

OCTOBER 15, 2021

Big data technology has been a highly valuable asset for many companies around the world. Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Develop an App. Be Seen Everywhere.

Big Data 144

Big Data Big Data Analytics Analytics 144

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. The raw data can be fed into a database or data warehouse. An analyst can examine the data using business intelligence tools to derive useful information. .

Database 130

Database Data Visualization Big Data Big Data 130

Becoming Human

JANUARY 23, 2023

Just like this in Data Science we have Data Analysis , Business Intelligence , Databases , Machine Learning , Deep Learning , Computer Vision , NLP Models , Data Architecture , Cloud & many things, and the combination of these technologies is called Data Science.

Data Science 105

Data Science Big Data Big Data Deep Learning 105

IBM Journey to AI blog

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. It enables secure data sharing for analytics and AI across your ecosystem.

AWS 93

AWS Database ETL AI 93

Pickl AI

FEBRUARY 28, 2023

Effectively, Data Analysts use other tools like SQL, R or Python, Excel, etc., in manipulating and analysing the data. Accordingly, the main job of Data Analysts is to help businesses make data-driven decisions and improve their business performance. Significantly, Pickl.AI

Data Analyst 52

Data Analyst Data Scientist Data Science Computer Science 52

Smart Data Collective

APRIL 1, 2020

AJ Agrawal, the CEO of Alumnify, is one of the experts that has talked about leveraging big data in SEO. Big data is making it easier to do this research than ever. You can use data mining tools to figure out what people are looking for by extracting information on numerous platforms. You follow their advice carefully.

Big Data 105

Big Data Big Data Data Mining Data Mining 105

Pickl AI

JULY 18, 2023

Its speed and performance make it a favored language for big data analytics, where efficiency and scalability are paramount. SAS: Analytics and Business Intelligence SAS is a leading programming language for analytics and business intelligence. Q: What role does SAS play in Data Science?

Data Science 52

Data Science SQL Data Scientist Python 52

ODSC - Open Data Science

JANUARY 30, 2024

Think of it as building plumbing for data to flow smoothly throughout the organization. EVENT — ODSC East 2024 In-Person and Virtual Conference April 23rd to 25th, 2024 Join us for a deep dive into the latest data science and AI trends, tools, and techniques, from LLMs to data analytics and from machine learning to responsible AI.

Data Engineer 52

Data Engineer Data Engineering Data Engineering Data Engineering 52

Pickl AI

SEPTEMBER 23, 2024

Applications of Data Science Data Science is not confined to one sector; its applications span multiple industries, transforming organisations’ operations. From healthcare to marketing, Data Science drives innovation by providing critical insights.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Data Science Machine Learning 52

IBM Journey to AI blog

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. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge.

Machine Learning 68

Machine Learning Machine Learning Data Mining Data Mining 68

Data Science Blog

JUNE 21, 2023

Process mining has emerged as a powerful Business Process Intelligence discipline (BPI) for analyzing and improving business processes. It involves extracting data from source systems to gain insights into process behavior and uncover opportunities for optimization.

Big Data 130

Big Data Big Data Data Engineering Data Engineer 130

Pickl AI

SEPTEMBER 12, 2024

Summary : This article equips Data Analysts with a solid foundation of key Data Science terms, from A to Z. Introduction In the rapidly evolving field of Data Science, understanding key terminology is crucial for Data Analysts to communicate effectively, collaborate effectively, and drive data-driven projects.

Data Analyst 52

Data Analyst Data Science Machine Learning Machine Learning 52

Pickl AI

APRIL 18, 2023

Thus, it focuses on providing all the fundamental concepts of Data Science and light concepts of Machine Learning, Artificial Intelligence, programming languages and others. Usually, a Data Science course comprises topics on statistical analysis, data visualization, data mining and data preprocessing.

Data Science 52

Data Science Machine Learning Machine Learning Data Scientist 52

Pickl AI

OCTOBER 14, 2024

As organisations increasingly rely on data for strategic decision-making, the demand for skilled professionals continues to soar. Pursuing a Master’s in Data Science in India equips individuals with advanced analytical, statistical, and programming skills essential for success in this field.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Mlearning.ai

MAY 23, 2023

Once the data is acquired, it is maintained by performing data cleaning, data warehousing, data staging, and data architecture. Data processing does the task of exploring the data, mining it, and analyzing it which can be finally used to generate the summary of the insights extracted from the data.

Data Science 52

Data Science Decision Trees Machine Learning Machine Learning 52

Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Process Mining offers process transparency, compliance insights, and process optimization.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence.

Business Intelligence 122

Business Intelligence Business Intelligence Analytics Analytics 122

Dataconomy

FEBRUARY 26, 2025

Data mining has emerged as a vital tool in todays data-driven environment, enabling organizations to extract valuable insights from vast amounts of information. As businesses generate and collect more data than ever before, understanding how to uncover patterns and trends becomes essential for making informed decisions.

Data Mining 91

Data Mining Data Mining Data Mining Data Preparation 91