FineReport

MAY 31, 2023

Furthermore, we will introduce some business intelligence solution that excels in simplifying the process of creating and utilizing a financial dashboard effectively. Data Quality and Consistency : Maintaining data quality and consistency is essential for reliable financial insights. What is A Financial Dashboard?

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

TDAN

APRIL 30, 2019

Roles and responsibilities are the backbone of a successful information or data governance program. To communicate effectively […].

Data Governance 79

Data Governance Data Quality IT Metadata 79

Birst BI

FEBRUARY 13, 2018

Today, Constellation Research , a leading technology research and advisory firm based in Silicon Valley, announced that Birst, an Infor company, for the fourth consecutive time, has been named to the Constellation ShortList for Cloud-Based Business Intelligence and Analytics Platforms.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

CIO Business Intelligence

MAY 7, 2024

One possible definition of the CDO is the organization’s leader responsible for data governance and use, including data analysis , mining , and processing. In many cases, CDOs focus on business objectives, but in other cases, they have equal business and technology remits, according to the authors.

Data Strategy 126

Data Strategy Data-driven Data Quality Strategy 126

CIO Business Intelligence

MARCH 6, 2024

This was a gift because it forced us into data governance and we sell data governance products, so this wasn’t a new concept to us. The definition of ARR, for example, required debate between the CFO and the CEO, and then my team built the definition into the data warehouse. What’s the calculation?

Modeling 112

Modeling Management IT Metrics 112

CIO Business Intelligence

MAY 10, 2023

We could do all that mapping and validation with you, but if the underlying data isn’t accurate, it has nothing to do with the mechanism which provides that. It’s about being transparent and educating your business in terms of what the expectation of the BI tool can deliver. It’s the clean-up effort. It’s a work in progress.

Data-driven 104

Data-driven IT Digital Transformation Data Governance 104

CIO Business Intelligence

JANUARY 24, 2024

“IT leaders should establish a process for continuous monitoring and improvement to ensure that insights remain actionable and relevant, by implementing regular review cycles to assess the effectiveness of the insights derived from unstructured data.” This type of environment can also be deeply rewarding for data and analytics professionals.”

Data Strategy 135

Data Strategy Strategy Unstructured Data Data Governance 135

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Here are 20 new definitions, including the first from other contributors (thanks Tenny!): Artificial Intelligence Platform. Data Asset. Data Audit. Data Classification.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

erwin

MAY 27, 2020

What’s desperately needed is a way to understand the relationships and interconnections between so many entities in data sets in detail. Visualizing data from anywhere defined by its context and definition in a central model repository, as well as the rules for governing the use of those data elements, unifies enterprise data management.

Modeling 98

Modeling Metadata Data Governance Visualization 98

Peter James Thomas

AUGUST 4, 2020

The new Dictionary includes 22 additional definitions, bringing the total number of entries to 220, totalling well over twenty thousand words. As usual, the new definitions range across the data arena: from Data Science and Machine Learning; to Information and Reporting; to Data Governance and Controls.

Data Analytics 98

Data Analytics Analytics Machine Learning Data Governance 98

CIO Business Intelligence

MAY 10, 2023

Without this important step, AI may produce inconsistent or inaccurate data that could put an organization in a risky gambit of leveraging insights that are not vetted. Setting and defining key terms A critical step for quality outputs is having data organized in a way that can be properly interpreted by an AI model.

Metadata 98

Metadata Data Governance Modeling Technology 98

David Menninger's Analyst Perspectives

JANUARY 11, 2022

Organizations today are working with multiple applications and systems, including enterprise resource planning (ERP), customer relationship management (CRM), supply chain management (SCM) and other systems, where data can easily become fragmented and siloed.

Software 231

Software Enterprise Management Analytics 231

datapine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? The program manager should lead the vision for quality data and ROI.

Data Quality 241

Data Quality Metrics Data-driven Management 241

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

CIO Business Intelligence

MARCH 4, 2024

Harmonizing these data sets with centralized enterprise data faces increasing challenges as shifts to data definitions, schema, and architecture require constant central data team efforts. These domain data leaders often cite the diminishing returns and significant effort of central data team engagement.

Insurance 89

Insurance Strategy Data Governance Data Integration 89

datapine

DECEMBER 11, 2019

It’s also popular amongst businesses for its simplicity and user accessibility, security, and the widespread connectivity that serves to streamline business models, resulting in maximum efficiency across the board. Artificial Intelligence (AI) technologies are becoming more widespread; it’s becoming a game-changer worth $15.7

Software 314

Software Cost-Benefit Data Processing Data-driven 314

AWS Big Data

JULY 13, 2023

This post discusses the journey that took Altron from their initial goals, to technical implementation, to the business value created from understanding their customers and their unique opportunities better. Data quality for account and customer data – Altron wanted to enable data quality and data governance best practices.

Optimization 92

Optimization B2B Data Quality Sales 92

CIO Business Intelligence

DECEMBER 19, 2023

Not surprisingly, nearly 50% of respondents identified data quality as the top challenge in realizing the potential of generative AI, which requires increasing the scope of dataops and data governance programs to include unstructured data sources and defining where to apply them in LLM experiments.

Digital Transformation 142

Digital Transformation Unstructured Data Machine Learning Risk Management 142

Jen Stirrup

MARCH 29, 2023

SAP Datasphere helps eliminate hidden data debt within organizations, enabling customers to build a business data fabric architecture that quickly delivers meaningful data with business context and logic intact. Business Intelligence is often a search problem in disguise.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

Smarten

JANUARY 7, 2020

Business Intelligence isn’t new but the way we gather, analyze and digest this intelligence is definitely changing. In the past, business intelligence was delivered to senior executives by IT and/or business analysts. Modern BI frees the IT and analyst team to focus on more strategic goals.

IT 52

IT Business Intelligence ROI Reporting 52

Alation

DECEMBER 21, 2022

A data catalog is a metadata repository of information sources across the enterprise, including data sets, business intelligence reports, visualizations, and conversations. Early on, analysts used data catalogs to find and understand data more quickly.

Management 52

Management Data Quality Metadata Testing 52

Alation

MARCH 8, 2022

To maintain trust and confidence, it’s critical that self-service data instills a level of trust so workers can get the data they need and make quick, confident decisions. Connects BI to data science tools. Data Analytics Governance: What You Need to Know.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

CIO Business Intelligence

AUGUST 23, 2023

On delivering digitally: We can get incredibly prescriptive around narrow or broad definitions of digital as it pertains to our businesses. Some had a very precise definition, some had looser interpretations, and everything in between so we decided on four major areas where digital should deliver on business outcomes.

Data Strategy 96

Data Strategy Strategy B2B Digital Transformation 96

Sisense

JULY 6, 2020

EDM covers the entire organization’s data lifecycle: It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data. Data governance is the foundation of EDM and is directly related to all other subsystems.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

CIO Business Intelligence

APRIL 28, 2023

It is therefore understandable that a cloud offering can be compliant with the data sovereignty requirements for one customer workload, but not for another of the same customer.

Risk 52

Risk Data Processing Data Governance Management 52

Alation

MAY 24, 2022

generally available on May 24, Alation introduces the Open Data Quality Initiative for the modern data stack, giving customers the freedom to choose the data quality vendor that’s best for them with the added confidence that those tools will integrate seamlessly with Alation’s Data Catalog and Data Governance application.

Data Quality 98

Data Quality Data Governance Metadata Metrics 98

Octopai

OCTOBER 8, 2020

Let’s take a more in-depth look at each of these organizational data tools and their influence on business intelligence insights. A Business Glossary Can Be Used Company-Wide. A business glossary provides definitions for the information found inside of a dataset. Which Tool is Right For You?

Metadata 96

Metadata Reporting Management Business Intelligence 96

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Machine Learning Marketing Metadata 52

Octopai

JANUARY 31, 2021

Specifically, when it comes to data lineage, experts in the field write about case studies and different approaches to this utilizing this tool. Among many topics, they explain how data lineage can help rectify bad data quality and improve data governance. . TDWI – Philip Russom. Malcolm Chisholm.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Birst BI

JANUARY 23, 2018

Data governance is a broad topic that people seem to agree is important, but still argue about the details. Data semantics are everything. Many IT and data management professionals posit that a single central data repository, such as a large cloud data warehouse or a data lake, is the definitive “single version of the truth.”

Data Warehouse 50

Data Warehouse Data Governance Data Lake Enterprise 50

Octopai

SEPTEMBER 10, 2019

Enterprises today are focused on ensuring robust data governance, and are exploring different tools and approaches to support their efforts. Some organizations know exactly what they need, while others can be overwhelmed or confused by all the different solutions out there that claim to support data governance.

Metadata 40

Metadata Data Governance Cost-Benefit Reporting 40

datapine

MARCH 25, 2019

Regression: A definitive set of statistical processes centered on estimating the relationships among particular variables to gain a deeper understanding of particular trends or patterns. Build a data management roadmap. Visualize your data. Good data analytics techniques result in enhanced business intelligence (BI).

Key Performance Indicator 217

Key Performance Indicator Statistics Visualization Big Data 217

CIO Business Intelligence

MAY 24, 2022

Deloitte lists these as: Creating and shaping a common data foundation. Defining and using single data points for multiple purposes. Building a semantic layer describing unified business and reporting definitions. store and process the data, typically in a data warehouse, where the data is modelled and schema applied.

Data-driven 87

Data-driven Data Lake Data Warehouse Cost-Benefit 87

Octopai

SEPTEMBER 14, 2020

Modern data processing depends on metadata management to power enhanced business intelligence. Metadata is of course the information about the data, and the process of managing it is mysterious to those not trained in advanced BI. A business glossary then informs both data discovery and data lineage.

Metadata 52

Metadata Management Data Processing Machine Learning 52

erwin

SEPTEMBER 25, 2020

Therefore, the visual representation provided by a data model gives organizations the confidence to design their proposed systems and take them live. Data modeling is a critical component of metadata management , data governance and data intelligence. Reduce risks and costs.

Modeling 111

Modeling Cost-Benefit Visualization Metadata 111

AWS Big Data

AUGUST 14, 2023

In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.

Management 81

Management Risk Measurement Optimization 81

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84