Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

Cloudera

DECEMBER 1, 2022

Data observability provides insight into the condition and evolution of the data resources from source through the delivery of the data products. Barr Moses of Monte Carlo presents it as a combination of data flow, data quality, data governance, and data lineage.

Metrics 83

Metrics Data Quality Data Lake Statistics 83

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

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 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 102

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 102

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

OCTOBER 12, 2023

Accounting for the complexities of the AI lifecycle Unfortunately, typical data storage and data governance tools fall short in the AI arena when it comes to helping an organization perform the tasks that underline efficient and responsible AI lifecycle management. And that makes sense. Learn more about IBM watsonx 1.

Cost-Benefit 78

Cost-Benefit Metadata Data Governance Modeling 78

CIO Business Intelligence

DECEMBER 21, 2022

“We took invoice data, and we didn’t have additional information regarding our sales, so we took that imperfect sales data and tried to find correlations to our future business,” Miara says. But we wanted to understand if we could improve our forecasting to predict demand based on that data alone.

IT 127

IT Business Intelligence Sales Key Performance Indicator 127

FineReport

APRIL 9, 2024

Among the latest BI trends , advanced analytics and predictive modeling stand out as key focal points, enabling businesses to extract deeper insights from their data assets. In addition to these advancements, another prominent trend in data analysis is the growing impact of data visualization.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Jet Global

MARCH 13, 2024

Free your team to explore data and create or modify reports on their own with no hard coding or programming skills required. Data Quality and Consistency Maintaining data quality and consistency across diverse sources is a challenge, even when integrating legacy data from within the Microsoft ecosystem.

Reporting 52

Reporting Finance Data Quality Sales 52

Jet Global

MARCH 4, 2024

Data inconsistencies become commonplace, hindering visibility and inhibiting a holistic understanding of business operations. Data governance and compliance become a constant juggling act. Here’s how it empowers you: Clean and Validated Data : Easy Workflow enforces data quality through automated validation rules.

Management 52

Management Data Governance Reporting Software 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

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. It empowers analysts to model scenarios, forecast change, and predict impact of real or imagined events. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Jet Global

MARCH 14, 2024

Jet’s interface lets you handle data administration easily, without advanced coding skills. You don’t need technical skills to manage complex data workflows in the Fabric environment.

Analytics 52

Analytics Management Reporting Enterprise 52

Alation

FEBRUARY 13, 2020

In the latest IDC Innovators: Data Intelligence Software Platforms, 2019 3 report, Alation was profiled as one vendor disrupting the data integration and integrity software market with a differentiated data intelligence software platform.

Machine Learning 52

Machine Learning Big Data Data Governance Digital Transformation 52

CIO Business Intelligence

JUNE 14, 2023

CompTIA Data+ The CompTIA Data+ certification is an early-career data analytics certification that validates the skills required to facilitate data-driven business decision-making. They know how to assess data quality and understand data security, including row-level security and data sensitivity.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

O'Reilly on Data

JULY 28, 2020

One mid-sized digital media company we interviewed reported that their Marketing, Advertising, Strategy, and Product teams once wanted to build an AI-driven user traffic forecast tool. Again, it’s important to listen to data scientists, data engineers, software developers, and design team members when deciding on the MVP.

Marketing 361

Marketing Experimentation Metrics Testing 361

erwin

JUNE 11, 2020

Aside from these, these data intelligence tools also provide healthcare institutions with an encompassing view of the hospital and care critical data that hospitals can use to improve the quality and level of service and increase their economic efficiency. Data quality management.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Jet Global

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.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

FineReport

MAY 31, 2023

Budget variance quantifies the discrepancy between budgeted and actual figures, enabling forecasters to make more accurate predictions regarding future costs and revenues. Ensuring seamless data integration and accuracy across these sources can be complex and time-consuming.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Smarten

SEPTEMBER 6, 2019

SSDP balances flexibility and agility with data governance so business users have access to the right data at the right time, and the IT team can maintain crucial security and data privacy controls and standards, as well as data quality. Self-Serve Data Prep in Action.

Analytics 51

Analytics IT Business Intelligence Testing 51

Jet Global

OCTOBER 11, 2023

Maintaining robust data governance and security standards within the embedded analytics solution is vital, particularly in organizations with varying data governance policies across varied applications. Logi Symphony brings an overall level of mastery to data connectivity that is not typically found in other offerings.

Dashboards 52

Dashboards Data-driven Software Reporting 52

Smarten

AUGUST 9, 2017

Augmented Data Preparation empowers business users with access to meaningful data to test theories and hypotheses without the assistance of data scientists or IT staff. The ideal solution should balance agility with data governance to provide data quality and clear watermarks to identify the source of data.

Analytics 40

Analytics IT Statistics ROI 40

Jet Global

NOVEMBER 7, 2023

Security and compliance demands: Maintaining robust data security, encryption, and adherence to complex regulations like GDPR poses challenges in hybrid ERP environments, necessitating meticulous compliance practices. Streamlines data governance, enhancing data accuracy and allowing efficient management of data lifecycle tasks.

Reporting 52

Reporting Finance Operational Reporting Management 52

Andrew White

JANUARY 11, 2021

See The Future of Data and Analytics: Reengineering the Decision, 2025. You mentioned a few times that most enterprises are not good at data governance. where performance and data quality is imperative? Data Governance has not only D&A and software angle but has a lot of process angle.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52