AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

FineReport

APRIL 9, 2024

One of the key aspects of the role of BI platforms is their ability to streamline the process of data analysis and decision-making. They offer functionalities that allow for the integration and transformation of raw data into meaningful and actionable insights.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.

Data Quality 69

Data Quality Data Integration Metadata Cost-Benefit 69

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. From FineBI.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

MARCH 3, 2023

Additionally, the scale is significant because the multi-tenant data sources provide a continuous stream of testing activity, and our users require quick data refreshes as well as historical context for up to a decade due to compliance and regulatory demands. Finally, data integrity is of paramount importance.

Software 52

Software Data Lake Testing Cost-Benefit 52

IBM Big Data Hub

DECEMBER 16, 2022

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

FineReport

APRIL 26, 2023

” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Having visually appealing graphics can also increase user adoption. The tool is designed to be intuitive, so even users with limited technical expertise can create reports and dashboards quickly and easily.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Ontotext

JANUARY 6, 2022

That is why we have used GraphDB , Ontotext Platform and our significant expertise in semantic data integration to show how we can improve the quality of ENTSO-E Transparency data and develop flexible analytics by leveraging the knowledge graph approach. Spotting Data Consistency Issues. Let’s take a closer look.

Marketing 52

Marketing Data Quality Dashboards Visualization 52

Ontotext

SEPTEMBER 15, 2020

Added to this is the increasing demands being made on our data from event-driven and real-time requirements, the rise of business-led use and understanding of data, and the move toward automation of data integration, data and service-level management. This provides a solid foundation for efficient data integration.

Metadata 69

Metadata Knowledge Discovery Data Quality Strategy 69

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 176

Testing Data Quality Predictive Modeling Metrics 176

CIO Business Intelligence

FEBRUARY 20, 2023

To earn this cert, candidates should know how to maintain and modify Sales Cloud and Service Cloud applications; manage users, data, and security; and construct dashboards, reports, and workflows. The consultant provides implementation, customization, and integration expertise in these technologies, as well as training and support.

Consulting 72

Consulting B2B Cost-Benefit Sales 72

Howard Dresner

JANUARY 20, 2014

Examples: user empowerment and the speed of getting answers (not just reports) • There is a growing interest in data that tells stories; keep up with advances in storyboarding to package visual analytics that might fill some gaps in communication and collaboration • Monitor rumblings about trend to shift data to secure storage outside the U.S.

Business Intelligence 56

Business Intelligence Software Data Processing Marketing 56

DataKitchen

MAY 10, 2021

Data errors impact decision-making. When analytics and dashboards are inaccurate, business leaders may not be able to solve problems and pursue opportunities. Data errors infringe on work-life balance. Data errors also affect careers. You and your data team can accomplish the same thing at your organization.

Testing 214

Testing Manufacturing Data Quality Statistics 214

DataKitchen

APRIL 13, 2021

DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. OwlDQ — Predictive data quality.

Testing 307

Testing Machine Learning Consulting Data Quality 307

datapine

FEBRUARY 22, 2022

IT should be involved to ensure governance, knowledge transfer, data integrity, and the actual implementation. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

datapine

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 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

MAY 17, 2021

Data discovery is a term used to describe the process for collecting data from various sources by detecting patterns and outliers with the help of guided advanced analytics and visual navigation of data, thus enabling consolidation of all business information. 3) Easily work with massive amounts of data.

Visualization 161

Visualization Data-driven Business Intelligence Metrics 161

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping is important for several reasons.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Jet Global

MAY 9, 2024

Data pipelines play a critical role in modern data-driven organizations by enabling the seamless flow and transformation of substantial amounts of data across various systems and apps. For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Ensuring that data is integrated seamlessly for reporting purposes can be a daunting task.

Data Quality 52

Data Quality Reporting Operational Reporting Finance 52

Jet Global

OCTOBER 11, 2023

Another hurdle is the task of managing diverse data sources, as organizations typically store data in various formats and locations. Ensuring that embedded analytics can access and analyze data from these multiple sources can pose a substantial technical difficulty, requiring powerful data integration capabilities.

Dashboards 52

Dashboards Data-driven Software Reporting 52

Jet Global

SEPTEMBER 22, 2023

The AI Revolution in Embedded Analytics The integration of AI, particularly the capabilities of ChatGPT, into embedded analytics platforms like Logi Symphony, marks a significant milestone in the evolution of data-driven decision-making. That way, we know it will still be available anytime we want to see the data.

Dashboards 52

Dashboards Data-driven Visualization Interactive 52

Jet Global

MARCH 13, 2024

Its easy-to-configure, pre-built templates get you up and running fast without having to understand complex Dynamics data structures. Free your team to explore data and create or modify reports on their own with no hard coding or programming skills required. With Atlas, you can put your data security concerns to rest.

Reporting 52

Reporting Finance Data Quality Sales 52

Jet Global

FEBRUARY 23, 2024

A Centralized Hub for Data Data silos are the number one inhibitor to commerce success regardless of your business model. Through effective workflow, data quality, and governance tools, a PIM ensures that disparate content is transformed into a company-wide strategic asset.

Management 52

Management Sales Publishing Data Quality 52