Astera

JULY 18, 2023

Data wrangling tools are powerful solutions designed to simplify and automate the process of data preparation. They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency.

Data Quality 52

Data Quality Visualization Data Visualization Documentation 52

Astera

DECEMBER 28, 2023

These data pipelines enable users to establish native connectivity to a wide range of endpoints, including files such as PDFs, XML, Excel, etc., databases and data warehouses , whether on-premises or in the cloud, data lakes , cloud storages, web applications, as well as data visualization and BI tools, consolidating their company-wide data.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Management 52

Astera

DECEMBER 28, 2023

These data pipelines enable users to establish native connectivity to a wide range of endpoints, including files such as PDFs, XML, Excel, etc., databases and data warehouses , whether on-premises or in the cloud, data lakes , cloud storages, web applications, as well as data visualization and BI tools, consolidating their company-wide data.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Management 52

Tableau

MARCH 4, 2021

Senior Data Visualization Lead, Excella. Once we find issues of inequality in data, it’s also our responsibility to spend time to understand the causes of those inequalities.” - Amanda Makulec. At no point in recent memory has the sheer quantity of available data and data visualizations on a single topic evolved so quickly.

Data Visualization 52

Data Visualization Visualization Data Quality Documentation 52

Business Analysis Knowledge Share

MARCH 15, 2023

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Data Pine

JANUARY 21, 2020

Another crucial factor to consider is the possibility to utilize real-time data. Enhanced data quality. One of the most clear-cut and powerful benefits of data intelligence for business is the fact that it empowers the user to squeeze every last drop of value from their data. Enhanced data quality.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Visualization 103

Astera

OCTOBER 26, 2023

The more data we generate, the more cleaning we must do. But what makes cleaning data so essential? Gartner reveals that poor data quality costs businesses $12.9 Data cleansing is critical for any organization that relies on accurate data. Interactive Data Profiling: Gain insights into your data visually.

Data Quality 52

Data Quality Retail Healthcare Visualization 52

Astera

FEBRUARY 16, 2024

For instance, you can use the Pandas library to create and manipulate DataFrames, the NumPy library to perform numerical computations, the SciPy library to apply scientific and statistical functions, and the Matplotlib library to generate and display data visualizations. Data Quality Provides advanced data profiling and quality rules.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Documentation 52

Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. Data quality is a priority for Astera. Lastly, data pipelines prioritize maintaining high data quality.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Data Pine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Embedded Analytics 76

Embedded Analytics Business Intelligence Business Intelligence Visualization 76

Astera

NOVEMBER 20, 2023

As your business evolves, the demand for scalable, secure, and well-documented APIs intensifies, adding to the already high pressure on your development team. Many API management solutions are fully automated, saving you time with manual tasks such as testing, deployment, or generating documentation.

IBM Support 52

IBM Support IBM Maintenance IBM cost Monitoring 52

Astera

JANUARY 11, 2024

Let’s explore the key steps organizations should consider: Assessing Your Current Data Infrastructure Before embarking on a data centralization journey, evaluate your existing data infrastructure. Identify and document the current systems and tools, assess data quality, and identify any gaps or redundancies.

Data Warehouse 52

Data Warehouse Finance Visualization Planning 52

Astera

MAY 30, 2024

Statistical Analysis : Using statistics to interpret data and identify trends. Predictive Analytics : Employing models to forecast future trends based on historical data. Data Visualization : Presenting data visually to make the analysis understandable to stakeholders.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Tableau

JANUARY 27, 2021

And our unique approach to data management provides valuable metadata, lineage, and data quality alerts right in the flow of users’ analysis, while providing the security and governance you need. This means increased transparency and trust in data, so everyone has the right data at the right time for making decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

AUGUST 29, 2022

Topics covered here range from backtesting and benchmarking approaches to data quality issues, software tools, and model documentation practices. Designed to be an accessible resource, this essential big data book does not include exhaustive coverage of all analytical techniques.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Data Pine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

ElegantJ BI

FEBRUARY 14, 2022

The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the options for data analytics, it is important to understand the impact of solution selection.

Business Intelligence 130

Business Intelligence Business Intelligence Data Quality Data Visualization 130

ElegantJ BI

JANUARY 22, 2017

Content Management Systems (CMS) and online meeting software furthered collaboration and sharing and helped business users to come together to review and edit documents and work on projects. In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

ElegantJ BI

JANUARY 22, 2017

Content Management Systems (CMS) and online meeting software furthered collaboration and sharing and helped business users to come together to review and edit documents and work on projects. In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

Data Pine

FEBRUARY 22, 2022

They can govern the implementation with a documented business case and be responsible for changes in scope. On the flip side, document everything that isn’t working. What data analysis questions are you unable to currently answer? Clean data in, clean analytics out. Develop a “Data Dictionary”. It’s that simple.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Astera

AUGUST 28, 2024

Data analysis tools are software solutions, applications, and platforms that simplify and accelerate the process of analyzing large amounts of data. They enable business intelligence (BI), analytics, data visualization , and reporting for businesses so they can make important decisions timely. Migrating from SAS 9.4

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Data Pine

APRIL 16, 2019

The digital world is in a constant state of flux, and to move with the ever-changing landscape around you, you must leverage data to make more informed and powerful data driven business decisions. Data driven business decisions make or break companies. The cost of waiting to see what happens is well documented….

IBM Maintenance 115

IBM Maintenance IBM cost IBM Support Retail 115

ElegantJ BI

JANUARY 22, 2017

Content Management Systems (CMS) and online meeting software furthered collaboration and sharing and helped business users to come together to review and edit documents and work on projects. In the old days, team members and employees shared and discussed information at the water cooler or in the cafeteria. About Kartik Patel.

Business Intelligence 100

Business Intelligence Business Intelligence Data Quality Data Discovery 100

Astera

APRIL 24, 2024

Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. Interactive, Automated Data Preparation : Ensures data quality using data health monitors, interactive grids, and robust quality checks. No SQL CLI.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Astera

DECEMBER 6, 2024

To do so, it uses a combination of artificial intelligence (AI)-powered tools such as intelligent document processing (IDP), robotic process automation (RPA), and workflow orchestration. These invoices can be in the form of scanned documents, PDFs, or other formats. Free yourself from manual AP bottlenecks and focus on what matters.

Banking 52

Banking Documentation Artificial Intelligence Digital 52

Insight Software

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

SEPTEMBER 1, 2023

These include data privacy and security concerns, model accuracy and bias challenges, user perception and trust issues, and the dependency on data quality and availability. Data Privacy and Security Concerns: Embedded predictive analytics often require access to sensitive user data for accurate predictions.

Predictive Analytics 52

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics 52