Data Pine

MARCH 31, 2022

4) Business Intelligence Job Roles. Does data excite, inspire, or even amaze you? Do you find computer science and its applications within the business world more than interesting? If you answered yes to any of these questions, you may want to consider a career in business intelligence (BI).In

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Data Pine

MAY 29, 2019

BI architecture has emerged to meet those requirements, with data warehousing as the backbone of these processes. One of the BI architecture components is data warehousing. What Is Data Warehousing And Business Intelligence? BI Architecture Framework In Modern Business. What Is BI Architecture?

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Analysts Corner

OCTOBER 26, 2023

Requirements gathering is the cornerstone of a BA’s responsibilities, and it plays a critical role in bridging the gap between business stakeholders and IT developers. In this blog post, we will dive deep into the fundamental process of requirements gathering. > Using thеsе dashboard tools hеlps you makе bеttеr choicеs quickly.

Enterprise Architecture 130

Enterprise Architecture Requirements Gathering Business Analysis Business Analysis 130

Sisense

AUGUST 11, 2019

For your business to thrive, you need to know what’s working, what’s not, and how to improve. The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. What Does “Business Analytics” Mean? That much is obvious.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Analysts Corner

FEBRUARY 23, 2023

Business analysts are responsible for interpreting and analyzing data, and providing recommendations based on their findings to help organisations achieve their goals. The field of business analytics is diverse, and there are many different areas of specialisation, including data mining, predictive modeling, and data visualisation.

Supply Chain 130

Supply Chain Healthcare Logistics Finance 130

Smart Data Collective

OCTOBER 15, 2021

This is one of the ways that big data can be most helpful. You can use sophisticated data mining tools to get the keywords you need to create a successful campaign. Apps help customers feel more engaged with your company and make your business more visible. Write a Blog.

Big Data 350

Big Data Data Mining Data Analytics Data Analytics 350

Astera

MAY 30, 2024

With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods. Data analytics has several components: Data Aggregation : Collecting data from various sources.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

NOVEMBER 27, 2023

It includes format checks, range checks, and consistency checks to ensure data is clean, correct, and logically consistent. Understanding the Difference: Data Profiling vs. Data Mining Data profiling and data mining are two distinct processes with different objectives and methodologies.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

BizAcuity

FEBRUARY 8, 2019

Cloud allows us to store huge amounts of data. The other half is to take out that data and use it in the right place, at the right time. And that can be possible by Business Intelligence. BI is the partner that today’s businesses need. And this minimizes any chances of data duplication.

Cloud Computing 173

Cloud Computing Data Mining Business Intelligence Business Intelligence 173

Data Pine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Astera

APRIL 13, 2023

A data warehouse is a system used to manage and store data from multiple sources, including operational databases, transactional systems, and external data sources. The data is organized and structured to support business intelligence (BI) activities such as data mining, analytics, and reporting.

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Astera

DECEMBER 21, 2022

Data Extraction vs. Data Mining. People often confuse data extraction and data mining. The process of data extraction deals with extracting important information from sources, such as emails, PDF documents, forms, text files, social media, and images with the help of content extraction tools.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

ElegantJ BI

APRIL 28, 2021

Data Warehouse A Data Warehouse (AKA Datawarehouse, DWH, Enterprise Data Warehouse or EDW) solution is designed to centralize and consolidate large bodies of data from disparate, multiple sources and is meant to help users execute queries, perform analytics, provide reporting, and obtain business intelligence.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

A Data Warehouse (AKA Datawarehouse, DWH, Enterprise Data Warehouse or EDW) solution is designed to centralize and consolidate large bodies of data from disparate, multiple sources and is meant to help users execute queries, perform analytics, provide reporting, and obtain business intelligence.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

FEBRUARY 10, 2020

These Augmented Analytics Tools incorporates computational linguistics, analytical algorithms and data mining into a self-serve environment and provides an easy-to-use NLP Search capability for swift, accurate data analysis to support data democratization and enhance the value of every team member.

Embedded Analytics 130

Embedded Analytics Data Mining Digital Transformation Business Intelligence 130

ElegantJ BI

FEBRUARY 10, 2020

These Augmented Analytics Tools incorporates computational linguistics, analytical algorithms and data mining into a self-serve environment and provides an easy-to-use NLP Search capability for swift, accurate data analysis to support data democratization and enhance the value of every team member.

Embedded Analytics 130

Embedded Analytics Data Mining Digital Transformation Business Intelligence 130

BizAcuity

SEPTEMBER 16, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. Comes in a desktop and a cloud version. They provide great dashboards and easy to use.

Visualization 174

Visualization Data Visualization Business Intelligence Business Intelligence 174

The BAWorld

FEBRUARY 12, 2024

First, however, you need to understand a few aspects of business process modeling before moving. Business process modeling is not manual. Instead, they are processed by various data mining algorithms that use pre-occupied data to make the business model.

Process Modelling 40

Process Modelling UML Data Mining Visualization 40

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. Comes in a desktop and a cloud version. They provide great dashboards and easy to use.

Visualization 154

Visualization Data Visualization Business Intelligence Business Intelligence 154

Data Pine

MAY 14, 2019

The ever-evolving, ever-expanding discipline of data science is relevant to almost every sector or industry imaginable – on a global scale. It is also wise to clearly make a difference between data science and data analytics in a business context so that the exploration of the fields bring extra value for interested parties.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. displaying BI insights for human users).

Big Data 52

Big Data Supply Chain Data Warehouse Data Analytics 52

The BAWorld

NOVEMBER 26, 2021

Like a detective, we dig deep into piles of data in order to find clues that will aid the actual data analysis. so, In this blog, I have shared my understanding of the exploratory data analysis steps and tried to catch hold of as many insights from the data set using EDA.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

NOVEMBER 26, 2021

Like a detective, we dig deep into piles of data to find clues that will aid the actual data analysis. In this blog, I have shared my understanding of the exploratory data analysis steps and tried to catch hold of as many insights from the data set using EDA. It is all about finding and revealing clues!

Data Mining 52

Data Mining Data Quality Visualization Planning 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

APRIL 27, 2023

ETL stands for Extract-Transform-Load and a data extraction ETL tool will give you the power to do all three. ETL process allows businesses to apply a complete data integration strategy with the goal of preparing data for business intelligence (BI). Here are some uses of data extraction.

E-Commerce 52

E-Commerce Data Mining Data Warehouse Documentation 52

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. Comes in a desktop and a cloud version. They provide great dashboards and easy to use.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. Comes in a desktop and a cloud version. They provide great dashboards and easy to use.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

Sisense

APRIL 26, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Making life better for data professionals.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Data Pine

DECEMBER 28, 2021

In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software. Statistics are infamous for their ability and potential to exist as misleading and bad data. 3) Data fishing.

Digital 145

Digital Healthcare Data Visualization Data Mining 145

Sisense

SEPTEMBER 12, 2019

We’ve been talking a lot recently about companies needing to use their data in order to stay in business in the future. We’ve even gone as far as saying that every company is a data company , whether they know it or not. Every business needs a business intelligence strategy to take it forward. .

Government 81

Government Documentation Business Intelligence Business Intelligence 81

Astera

FEBRUARY 20, 2023

A single source of truth allows healthcare organizations to apply data mining techniques to effectively detect and prevent fraud. Data Integration Challenges in Healthcare Healthcare data wields enormous power, but the sheer volume and variety of this data pose various challenges.

Healthcare 52

Healthcare Data Warehouse Data Mining Data Quality 52

Data Pine

MARCH 25, 2019

What Is A Data Analysis Method? Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement.

Big Data 87

Big Data Visualization Data Visualization Data Analytics 87

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. The right data model + artificial intelligence = augmented analytics. Dig into AI.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Data Pine

JANUARY 24, 2021

All of our experience has taught us that data analysis is only as good as the questions you ask. Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. They form the bedrock for the rest of this process.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

FEBRUARY 7, 2024

Data Warehousing : A database works well for transactional data operations but not for analysis, and the opposite is true for a data warehouse. The two complement each other so you can leverage your data more easily. It’s the right technique for occasional change extraction.

E-Commerce 52

E-Commerce Data Warehouse Monitoring Data Management 52

Data Pine

OCTOBER 10, 2019

Do they want to get more social reach on the blog posts your company is putting out? With better access to data than ever before, and improved data mining tools, we’re able to recover A LOT of types of data. However, even though we love data, we can’t (and shouldn’t) display all of these types.

Retail 58

Retail Visualization Logistics Real-time Data 58