Insight Software

AUGUST 28, 2023

It also complements insightsoftware’s previous acquisition of Power ON , and extends write-back : the ability to update source data in enterprise databases directly onto the Qlik platform. “This acquisition seamlessly connects insightsoftware’s expertise and product offerings with our extensive visualization library.

Supply Chain 75

Supply Chain Master Data Management Finance Data Quality 75

Tableau

AUGUST 21, 2023

Kuber Sharma Director, Product Marketing, Tableau Kristin Adderson August 22, 2023 - 12:11am August 22, 2023 Whether you're a novice data analyst exploring the possibilities of Tableau or a leader with years of experience using VizQL to gain advanced insights—this is your list of key Tableau features you should know, from A to Z.

Visualization 97

Visualization Monitoring Data Quality Data Discovery 97

Business Analysis Knowledge Share

MARCH 15, 2023

BI tools provide a range of functionality, including data visualization, dashboarding, and reporting. Data Governance Data governance is the process of managing data as an enterprise asset. Data governance is essential for ensuring data quality, consistency, and security in a data warehouse.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Sisense

SEPTEMBER 3, 2020

Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization. Database specialists may be charged with looking after other data repositories used by the organization, such as data stores, marts, warehouses, and lakes.

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Tableau

JANUARY 27, 2021

This starts with getting people up and running, which is why we simplified license management for IT and administrators. 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.

Business Intelligence 102

Business Intelligence Business Intelligence Government Visualization 102

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

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

Data Pine

AUGUST 7, 2019

Whether you need to develop an IT report or tackle deeper into the financial analytics side of the business, a dashboard will prove its worth when you see all your data in a clean, interactive screen. 1) Data management. Data quality , speed, and consistency in one neat package. . 2) Vision.

Visualization 67

Visualization Data Visualization Business Intelligence Business Intelligence 67

Marutitech

JANUARY 21, 2022

The primary responsibility of a data science manager is to ensure that the team demonstrates the impact of their actions and that the entire team is working towards the same goals defined by the requirements of the stakeholders. 2. Manage people. Modeling data . Interpreting data. Why Do You Need It? .

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

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

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. The Prerequisite to Data Mining: Astera Data mining requires meticulous data preparation and processing.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Actian

JUNE 13, 2019

The data consumers within your organization aren’t a homogeneous group, so you must adapt your data management solutions accordingly. Data Curators – These are the people within your organization who generate reports and dashboards for executive consumption. How then do you incrementally approach the ideal solution?

Skillset 40

Skillset Data Management Finance Data Quality 40

Domo

JULY 8, 2021

It’s also important to think about how you’re going to manage your cloud vendors/providers. In order to manage your infrastructure such as networks, storage, services, data management, and virtualization, you’ll likely be working with several cloud providers, including cloud data integration and cloud BI providers.

Data Governance 52

Data Governance Government Embedded Analytics Business Intelligence 52

Astera

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. Manual export and import steps in a system can add complexity to your data pipeline.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 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

Astera

JANUARY 25, 2024

Reverse ETL, used with other data integration tools , like MDM (Master Data Management) and CDC (Change Data Capture), empowers employees to access data easily and fosters the development of data literacy skills, which enhances a data-driven culture.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

AUGUST 5, 2024

Data Visualization Once the analysis is complete, the results are interpreted to generate findings relevant to the business. Data visualization presents these findings in a clear and understandable format: Creating Visuals : Representing analysis results with charts, graphs, and dashboards.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Tableau

JANUARY 27, 2021

This starts with getting people up and running, which is why we simplified license management for IT and administrators. 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.

Business Intelligence 52

Business Intelligence Business Intelligence Government Visualization 52

Data Pine

AUGUST 29, 2022

Big data management presents a big challenge for organizations that want to use their data as a competitive advantage. Dealing with massive amounts of data can be overwhelming if you don’t have the necessary skills and tools to correctly manage it.

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

Data Pine

FEBRUARY 22, 2022

For this purpose, you can think about a data governance strategy. Essentially, data governance is a collection of processes that ensure the efficient use of data. It establishes clear responsibilities when it comes to data management and it helps ensure quality and security. It’s that simple.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Data Pine

MAY 17, 2021

3) Easily work with massive amounts of data. Visual discovery is helping expand traditional business intelligence and improve efficiency. If you have multiple databases from different touchpoints, you should look for a tool that will allow data integration no matter the amount of information you want to include.

Data Discovery 64

Data Discovery Visualization Data Visualization Business Intelligence 64

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Try it Now!

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Astera

APRIL 24, 2024

Key Features: AI-Driven Data Management : Streamlines data extraction, preparation, and data processing through AI and automated workflows. Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. Needs better user management.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

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.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Data Pine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. 6) Smart and faster reporting.

Business Intelligence 85

Business Intelligence Business Intelligence Data Analytics Data Analytics 85

Data Pine

DECEMBER 4, 2019

With more vendors each year that offer mobile solutions within their software, companies are also starting to implement mobile data management and 2020 will increase even more. It enables access and sharing of data in a distributed environment and supports different data management needs to deliver the right IT service level.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Astera

APRIL 23, 2024

A 2021 Educase report shows that 75% of surveyed institutions have started or are planning extensive digital transformation strategies to improve their data utilization. The importance of a strategic approach to data utilization in this context cannot be overstated. Its data profiling capabilities identify and correct inconsistencies.

Government 40

Government Planning Data Governance Data Management 40

Astera

DECEMBER 6, 2024

AP Process Analytics Automation platforms provide insights into accounts payable processes through data visualization, highlighting trends, bottlenecks, and areas for optimization. Implementing an AP automation platform saves resources, minimizes errors, improves vendor relationships, and optimizes cash flow management.

Banking 52

Banking Documentation Artificial Intelligence Digital 52

Insight Software

MAY 9, 2024

ETL pipelines are commonly used in data warehousing and business intelligence environments, where data from multiple sources needs to be integrated, transformed, and stored for analysis and reporting. Organizations can use data pipelines to support real-time data analysis for operational intelligence.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 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

OCTOBER 11, 2023

Existing applications did not adequately allow organizations to deliver cost-effective, high-quality interactive, white-labeled/branded data visualizations, dashboards, and reports embedded within their applications. Addressing these challenges necessitated a full-scale effort.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance User Experience 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

Insight Software

MARCH 4, 2024

Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability. Streamlined Data Management Feeling overwhelmed by the complexity of managing disparate ESG data sources for your CSRD compliance?

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM Expert 52