erwin

JULY 22, 2020

The company needed to help its data scientists and engineers improve their knowledge of the data, find the best data for use at the best time, and put the data in the most appropriate business context. Becoming a data-driven enterprise means making decisions based on facts. As an example, E.ON Avoiding Hurdles.

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

erwin

DECEMBER 12, 2019

Managing metadata should not be a sub-goal of data governance. Today, metadata is the heart of enterprise data management and governance/ intelligence efforts and should have a clear strategy – rather than just something you do. Quite simply, metadata is data about data. Click here to request a demo of erwin DI.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

FineReport

MAY 31, 2023

The balance sheet plays a vital role in internal management, helping companies fine-tune their business strategies and prevent misuse. By comparing the current ratio, quick ratio, and cash flow ratio, companies can assess their current operational status and determine necessary actions to align with their business strategies.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

erwin

SEPTEMBER 17, 2020

Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Data quality is crucial to every organization. Automated data capture can significantly reduce errors when compared to manual entry. However, different types of data need to be treated differently.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

DECEMBER 12, 2019

Managing metadata should not be a sub-goal of data governance. Today, metadata is the heart of enterprise data management and governance/ intelligence efforts and should have a clear strategy – rather than just something you do. Quite simply, metadata is data about data. Click here to request a demo of erwin DI.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Cloudera

MAY 28, 2019

What emerges is the criticality of a data strategy and core data management competency, including both data and model management, to support enterprise ML initiatives. Cloudera customers can start building enterprise AI on their data management competencies today with the Cloudera Data Science Workbench (CDSW).

Data Science 50

Data Science Machine Learning Data Strategy Cost-Benefit 50

erwin

JANUARY 11, 2019

It’s only when companies take their first stab at manually cataloging and documenting operational systems, processes and the associated data, both at rest and in motion, that they realize how time-consuming the entire data prepping and mapping effort is, and why that work is sure to be compounded by human error and data quality issues.

Data Governance 40

Data Governance Risk Metadata Management 40

IBM Big Data Hub

JANUARY 8, 2024

Stage 4 – Transformative business strategy A broader range of users are able to access and process event streams to understand their relevance in a business context.  It includes a built-in schema registry to validate event data from applications as expected, improving data quality and reducing errors.

Data-driven 73

Data-driven Management Advertising Enterprise 73

Ontotext

DECEMBER 1, 2023

According to him, “failing to ensure data quality in capturing and structuring knowledge, turns any knowledge graph into a piece of abstract art”. The panel offered an interesting discussion about strategies for overcoming these challenges, avoiding the pitfalls, and applying the best practices in semantic knowledge graph building.

Metadata 78

Metadata Sales Consulting Enterprise 78

Alation

APRIL 27, 2022

Taken together, these findings show the revenue growth risk for enterprises that have not yet invested in building a data culture. Furthermore, organizations that do not invest in data and analytics technology also risk disruption by their competition and the market. The C-Suite Data and Analytics Investment Strategy Gap.

Reporting 52

Reporting Data-driven Digital Transformation Data Governance 52

Octopai

JUNE 24, 2019

. – Data management : As part of maintaining the integrity of your data, it will be necessary to track activities. This maintains a high priority in your data governance strategy. – Workflow management : The purpose of maintaining high-quality data is to help drive policy throughout your business.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

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

O'Reilly on Data

NOVEMBER 28, 2023

Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3% AI users are definitely facing these problems: 7% report that data quality has hindered further adoption, and 4% cite the difficulty of training a model on their data.

Enterprise 281

Enterprise Modeling Testing Reporting 281

Cloudera

MARCH 14, 2023

Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service. It is no secret that data leaders are under immense pressure. Data quality issue? For more information or to see a demo, go to the DataFlow Product page.

Cost-Benefit 80

Cost-Benefit Data-driven Risk Data Governance 80

datapine

APRIL 15, 2020

When it comes to implementing and managing a successful BI strategy we have always proclaimed: start small, use the right BI tools , and involve your team. You need to determine if you are going with an on-premise or cloud-hosted strategy. You want an organization-wide buy-in of your business intelligence strategy.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

IBM Big Data Hub

DECEMBER 7, 2023

Customer lifetime value analysis : OLAP helps businesses identify high-value customers and develop strategies to retain them. Customer churn prediction : OLAP can identify customers at risk of churn, enabling businesses to implement retention strategies.

OLAP 58

OLAP Slice and Dice Cost-Benefit Data Warehouse 58

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

FineReport

MAY 25, 2023

Personal Information Management – From FineReport Human resources dashboards offer unparalleled insights, empowering the HR team to develop robust hiring and retention strategies that attract qualified employees while minimizing costs. FineReport also supports data validation, ensuring data accuracy and integrity.

Dashboards 52

Dashboards Metrics Cost-Benefit Key Performance Indicator 52

Cloudera

AUGUST 4, 2021

Factors such as siloed platforms and the absence of centralized data stewardship all regularly contribute to a lack of data visibility. . Organizations are facing a data tsunami with more data being generated than ever, making it even more difficult to discover, catalog, and keep track of all this information.

Data Governance 86

Data Governance Metadata Data-driven Enterprise 86

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. Culturally, defence lacks recognition over the importance of data’.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

Alation

AUGUST 11, 2022

So we have to be very careful about giving the domains the right and authority to fix data quality. When it comes to curating, governing, accessing, and securing the data, in my mind, that still needs to be centralized. Let’s take data privacy as an example. What are your thoughts on the centralization of metadata?

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Alation

MAY 31, 2023

And don’t miss my demo presentation at the booth! We’ll have a team on-site and encourage you to stop by our booth in the exhibit hall.

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

IBM Big Data Hub

MARCH 14, 2024

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.

Cost-Benefit 76

Cost-Benefit Metadata Optimization Management 76

Jet Global

OCTOBER 27, 2020

Management by exception can be an effective strategy for virtually any business. Data Quality. According to Gartner , poor data quality costs the average company about $15 million each year. Missing data, duplicate records, and outdated information all contribute to the problem.

Reporting 52

Reporting Data Quality Cost-Benefit Sales 52

Jet Global

MARCH 13, 2020

Interpreting what they mean involves putting them in the context of the company’s past performance, competitive climate, or current strategy, for instance. In a Deloitte survey, 67 percent of the 1,048 executives who participated said they were uncomfortable accessing data using the tools they have available.

Finance 64

Finance Snapshot Reporting Advertising 64

DataRobot Blog

DECEMBER 20, 2022

Automating and optimizing their investment strategy. You can understand the data and model’s behavior at any time. Once you use a training dataset, and after the Exploratory Data Analysis, DataRobot flags any data quality issues and, if significant issues are spotlighted, will automatically handle them in the modeling stage.

Management 59

Management Machine Learning Optimization Modeling 59

Jedox

MARCH 7, 2023

Chemical manufacturer plans for any scenario Mitsui Chemicals Europe reaps the benefits of instantaneous best- and worst-case scenario planning , freeing up finance teams to focus on developing valuable strategies to adapt to each scenario. Request a live demo  for a deeper look into how Jedox helps teams shape the future.

Forecasting 52

Forecasting Sales Finance Reporting 52

Alation

SEPTEMBER 20, 2021

Data access is a] joint effort with the organization’s compliance team.”. Data Quality. Urgent problems with data quality are ongoing. But what makes them urgent depends on the audience — and how they seek to use that data. What data problems are most urgent? Depends on the department.

Data Governance 84

Data Governance Data Quality Enterprise Measurement 84

Alation

NOVEMBER 11, 2021

For instance, establishing a basic data-sharing agreement with a consuming party could be done by a steward, but a request for more expansive or frequent access to a data source may have to be negotiated and agreed on by the data owner. Data Quality Metrics. Subscribe to Alation's Blog.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business. Business strategy. Data engineering. Why Do You Need an Enterprise Analytics Strategy?

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Alation

AUGUST 26, 2021

Under an active data governance framework , a Behavioral Analysis Engine will use AI, ML and DI to crawl all data and metadata, spot patterns, and implement solutions. Data Governance and Data Strategy. In other words, leaders are prioritizing data democratization to ensure people have access to the data they need.

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

APRIL 19, 2022

Modern data architectures, like cloud data warehouses and cloud data lakes , empower more people to leverage analytics for insights more efficiently. Consolidating all data across your organization builds trust in the data. Get the latest data cataloging news and trends in your inbox.

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52

Jet Global

MAY 28, 2019

As the complexity and volume of data used in the enterprise scales and organizations want to get more out of their analytics efforts, data warehouses are gaining more traction for reporting and analytics over databases. Let’s look at why: Data Quality and Consistency. Schedule a Personalized Demo.

Data Warehouse 85

Data Warehouse Reporting Business Intelligence Sales 85

Jet Global

SEPTEMBER 26, 2023

Data Cleansing Imperative: The same report revealed that organizations recognized the importance of data quality, with 71% expressing concerns about data quality issues. This underscores the need for robust data cleansing solutions.

Data Quality 52

Data Quality Reporting Management Software 52

Jet Global

OCTOBER 4, 2023

Finance teams are under pressure to slash costs while playing a key role in data strategy, yet they are still bogged down by manual tasks, overreliance on IT, and low visibility on company data. Addressing these challenges often requires investing in data integration solutions or third-party data integration tools.

Finance 52

Finance Reporting Cost-Benefit Management 52

Jet Global

JULY 17, 2023

One of the major challenges in most business intelligence (BI) projects is data quality (or lack thereof). In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics. On the other hand, you may have to deal with missing data on your own.

Predictive Analytics 52

Predictive Analytics Reporting Strategy Software 52