ElegantJ BI

SEPTEMBER 3, 2014

Their lives as consumers teach them to expect performance, mobility, ease-of-use and interaction, and they expect no less from a business application. When it comes to Business Intelligence Reporting , the scenario is the same. Then, there are the diverse needs for reporting and alerts.

Business Intelligence 130

Business Intelligence Business Intelligence Planning Data Mining 130

ElegantJ BI

SEPTEMBER 3, 2014

Their lives as consumers teach them to expect performance, mobility, ease-of-use and interaction, and they expect no less from a business application. When it comes to Business Intelligence Reporting , the scenario is the same. Then, there are the diverse needs for reporting and alerts.

Business Intelligence 130

Business Intelligence Business Intelligence Planning Data Mining 130

ElegantJ BI

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence? Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

ElegantJ BI

JANUARY 31, 2019

Many organizations have grown comfortable with their business intelligence solution, and find it difficult to justify the need for advanced analytics. How is Advanced Analytics Different from Business Intelligence? Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. “Data is what you need to do analytics.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

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. .

Documentation 264

Documentation Data Visualization Data Mining Visualization 264

Data Pine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

ElegantJ BI

SEPTEMBER 3, 2014

Their lives as consumers teach them to expect performance, mobility, ease-of-use and interaction, and they expect no less from a business application. When it comes to Business Intelligence Reporting , the scenario is the same. Then, there are the diverse needs for reporting and alerts.

Business Intelligence 100

Business Intelligence Business Intelligence Planning Data Mining 100

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.

Big Data 357

Big Data Data Mining Data Analytics Data Analytics 357

ElegantJ BI

MAY 12, 2015

You may think that Business Intelligence tools are not applicable to your role or function but think again! Consider the data with which you work. You can accurately forecast and anticipate results and help your clients see how to balance business growth, expenses and financial investments.

Data Mining 130

Data Mining Business Intelligence Business Intelligence Monitoring 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. Defining business dashboard needs. Comes in a desktop and a cloud version.

Visualization 174

Visualization Data Visualization Business Intelligence Business Intelligence 174

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

Sisense

AUGUST 11, 2019

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. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

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. DEFINING BUSINESS DASHBOARD NEEDS. Comes in a desktop and a cloud version.

Visualization 154

Visualization Data Visualization Business Intelligence Business Intelligence 154

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

ElegantJ BI

DECEMBER 14, 2012

Don’t Use a Row Boat to Navigate Oceans of Data I recently joined a cross-functional team to recommend a business intelligence solution, improve planning and better predict results using objective metrics. Our BI dashboards, alerts, metrics and key performance indicators keep each business on track.

Supply Chain 100

Supply Chain Data Mining Business Intelligence Business Intelligence 100

ElegantJ BI

DECEMBER 14, 2012

Don’t Use a Row Boat to Navigate Oceans of Data I recently joined a cross-functional team to recommend a business intelligence solution, improve planning and better predict results using objective metrics. Our BI dashboards, alerts, metrics and key performance indicators keep each business on track.

Supply Chain 100

Supply Chain Data Mining Business Intelligence Business Intelligence 100

ElegantJ BI

DECEMBER 14, 2012

Don’t Use a Row Boat to Navigate Oceans of Data. I recently joined a cross-functional team to recommend a business intelligence solution, improve planning and better predict results using objective metrics. Our BI dashboards, alerts, metrics and key performance indicators keep each business on track.

Supply Chain 100

Supply Chain Data Mining Business Intelligence Business Intelligence 100

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

Analysts Corner

OCTOBER 26, 2023

. > Keep reading… 2) User Stories as the Haiku of Business Analysis by Andriy Dzugaiev Well written user stories are much like haiku — they are easy to read and comprehend, and therefore, sometimes seem easy to create. Yet while many methodologies have come and gone over the years, two have taken centre stage: agile and scrum. . >

Enterprise Architecture 130

Enterprise Architecture Requirements Gathering Business Analysis Business Analysis 130

ElegantJ BI

MAY 12, 2015

You may think that Business Intelligence tools are not applicable to your role or function but think again! Consider the data with which you work. You can accurately forecast and anticipate results and help your clients see how to balance business growth, expenses and financial investments.

Data Mining 100

Data Mining Business Intelligence Business Intelligence Monitoring 100

ElegantJ BI

MAY 12, 2015

You may think that Business Intelligence tools are not applicable to your role or function but think again! Consider the data with which you work. You can accurately forecast and anticipate results and help your clients see how to balance business growth, expenses and financial investments.

Data Mining 100

Data Mining Business Intelligence Business Intelligence Monitoring 100

The BAWorld

NOVEMBER 5, 2024

” based on the available data. ” Business Intelligence (BI) was the earlier avatar of business analytics (data science) with limited capabilities to predict and to learn (machine learning). Making sense of the data in its raw format will be extremely difficult.

Big Data 98

Big Data Data Mining Data Analytics Data Analytics 98

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. DEFINING BUSINESS DASHBOARD NEEDS. Comes in a desktop and a cloud version.

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. DEFINING BUSINESS DASHBOARD NEEDS. Comes in a desktop and a cloud version.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

Data Pine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. At present, around 2.7 Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

Whizlabs

MAY 3, 2021

Data scientists not only play an important role in business analysis but are also responsible for building data products and software forums. Frankly, data science is a combination of computer science, mathematics, and math. Business Intelligence Analyst. Data Mining Engineer. Data Architect.

Monitoring 134

Monitoring Data Mining Business Intelligence Business Intelligence 134

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

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. Effective presentation aids in all of these areas.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Sisense

MAY 11, 2021

In determining how we wanted to merge these data stacks and how we wanted to model our data, we also revisited our data strategy to consider what we as a data team were striving to achieve within the business. The right data model + artificial intelligence = augmented analytics. Dig into AI.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Astera

MAY 30, 2024

Data analytics has several components: Data Aggregation : Collecting data from various sources. Data Mining : Sifting through data to find relevant information. Statistical Analysis : Using statistics to interpret data and identify trends. What are the 4 Types of Data Analytics?

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

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

Sisense

APRIL 26, 2020

The middle tier is typically a relational data store with schemas that support analytical processing. The top tier is an analytics tier that includes everything from standard querying tools to analytics, data mining, AI or ML capabilities, reporting, and presentation visualization tools.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

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 Analytics Data Analytics 52

Marutitech

JANUARY 21, 2022

Companies worldwide follow various approaches to deal with the process of data mining. . This method is generally known as the CRISP-DM, abbreviated as Cross-Industry Standard Process for Data Mining. . The CRISP-DM methodology is as follows: Business Understanding. Data Understanding.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Astera

APRIL 27, 2023

How Does Data Extraction Proceed in the ETL Lifecycle? The detailed steps in the data extraction process may vary according to the data source and the specific requirements of the process. ETL stands for Extract-Transform-Load and a data extraction ETL tool will give you the power to do all three.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52