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

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 Data Warehouse 52

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 Finance Data Management Data Quality 40

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 Innovation Business Intelligence 67

Insight Software

JANUARY 20, 2021

That process, broadly speaking, is called data management. As the volume of available information continues to grow, data management will become an increasingly important factor in effective business management. Worse yet, poor data management can lead managers to make decisions based on faulty assumptions.

Data Management 95

Data Management E-Commerce Data Analytics Data Analytics 95

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

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

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 70

Business Intelligence Business Intelligence Government Visualization 70

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

Smart Data Collective

SEPTEMBER 26, 2021

You can finally understand what you’re looking at and what the data is saying. The format can be classified by size, but you can choose to organize data horizontally or vertically/by column. It doesn’t matter if you use graphs or charts, you need to get better at data visualization. Metadata makes the task a lot easier.

Documentation 247

Documentation Data Visualization Data Mining Data Warehouse 247

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

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

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 75

Visualization Monitoring Data Quality Data Discovery 75

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 IBM Maintenance 105

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

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

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

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

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 Maintenance IBM cost E-Commerce 52

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

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 Data Visualization Visualization Business Intelligence 64

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

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 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

Insight Software

SEPTEMBER 22, 2023

About Logi Symphony Logi Symphony enables software teams to rapidly design, build, and embed interactive dashboards and data visualizations with fast connectivity and access to modern data infrastructure. Connect to any data source. Align data with ETL, data performance, data quality, and data structure.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance Supply Chain 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