CIO Business Intelligence

MARCH 24, 2023

It must be clear to all participants and auditors how and when data-related decisions and controls were introduced into the processes. Data-related decisions, processes, and controls subject to data governance must be auditable. IBM Data Governance IBM Data Governance leverages machine learning to collect and curate data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

JULY 20, 2021

Top Big Data CRM Integration Tools in 2021: #1 MuleSoft: Mulesoft is a data integration platform owned by Salesforce to accelerate digital customer transformations. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

Sales 141

Sales Big Data Marketing Software 141

Smart Data Collective

APRIL 15, 2021

Business Intelligence uses methods and tools like machine learning to take massive, unstructured swaths of data and turn them into easy-to-use reports. Because employees of many different departments will be involved in managing the data in business intelligence, everyone needs to be on the same page before moving forward.

Business Intelligence 97

Business Intelligence Analytics Statistics Data Warehouse 97

CIO Business Intelligence

JANUARY 5, 2023

A September 2021 Gartner report predicted that by 2025, 70% of new applications developed by enterprises will use low-code or no-code technologies, up from less than 25% in 2020. Customers also report they help business users quickly test new services, tweak user interfaces and deliver new functionality.

IT 130

IT Cost-Benefit Testing Dashboards 130

Jet Global

JANUARY 22, 2021

As a result, tax software implementation is a project that is often added to the ”too difficult” pile of tasks to complete—despite the undisputable benefits derived from streamlining and automating tax calculations and reporting with purpose-built software. Automate your organization’s tax data collection and processing. Tax packages.

Testing 98

Testing Software Reporting Forecasting 98

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Who are the data owners? Data lineage offers proof that the data provided is reflected accurately.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

erwin

JANUARY 30, 2020

The 2020 State of Data Governance and Automation (DGA) report is a follow-up to an initial survey we commissioned two years ago to explore data governance ahead of the European Union’s General Data Protection Regulation (GDPR) going into effect. 1 reason to implement data governance. Stop Wasting Your Time.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

Octopai

MAY 15, 2023

By analyzing this information, organizations can optimize their infrastructure and storage strategies, avoiding unnecessary storage costs and efficiently allocating resources based on data usage patterns. Data integration and ETL costs: Large organizations often deal with complex data integration and Extract, Transform, Load (ETL) processes.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

erwin

OCTOBER 8, 2020

But even with the “need for speed” to market, new applications must be modeled and documented for compliance, transparency and stakeholder literacy. With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

IBM Big Data Hub

JANUARY 11, 2024

Strong DR planning helps businesses protect critical data and restore normal processes in a matter of days, hours and even minutes. Disaster recovery plan (DRP): A disaster recovery plan (DRP) is a document that clearly outlines how an enterprise will recover from an unexpected event. million—a 15% increase over the last 3 years.

Cost-Benefit 102

Cost-Benefit Risk Enterprise Software 102

erwin

NOVEMBER 6, 2019

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. IDC Technology Spotlight, Data Intelligence in Context: Get the report (… it’s free). Can the 80/20 Rule Be Reversed?

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

CIO Business Intelligence

JANUARY 9, 2024

The October 2023 CEO Outlook Pulse from professional services firm EY reported that 99% of chief executives were planning to invest in generative AI. That’s the question many CIOs are asking, as some report they are now the ones raising points about business needs and business value whenever there’s a demand for an AI solution.

IT 140

IT Risk Cost-Benefit Enterprise 140

erwin

JANUARY 24, 2019

In most companies, an incredible amount of data flows from multiple sources in a variety of formats and is constantly being moved and federated across a changing system landscape. An organization can achieve a more comprehensive and sustainable data governance initiative than it ever could with a homegrown solution.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Top 10 Big Data Tools 1. The most distinct is its reporting capabilities.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Cloudera

JUNE 22, 2023

Its built-in intelligence automates common data management and data integration tasks, improves the overall effectiveness of data governance, and permits a holistic view of data across the cloud and on-premises environments. Flexibility.

Cost-Benefit 67

Cost-Benefit Digital Transformation Data Governance Unstructured Data 67

erwin

MAY 2, 2022

I’m not proposing that business logic be held in the database, but it needs to be documented in the data model even if it will be implemented in application code. No matter where you implement it, you must fully document the business requirements in order to produce an effective final result. Figure 11: Data normalization.

Modeling 98

Modeling Insurance Cost-Benefit Data Warehouse 98

erwin

APRIL 27, 2022

In data warehousing, the data is extracted and transported from production database(s) into a data warehouse for reporting and analysis. Change Data Capture identifies and processes only the data that has changed and stores the changed data in a form so as to be of further use.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

FineReport

JULY 6, 2022

Tableau, founded in 2003, is a leading analytics platform focusing on providing intuitive data visualization to facilitate the process of reporting and analyzing massive data for organizations. It is easier for those with experience in data analytics to convert the data into visual reports. Data Sources.

Dashboards 52

Dashboards Visualization Business Intelligence Reporting 52

Jedox

APRIL 30, 2020

Flexibility is an absolute must for your planning solution to support a Sales Compensation Model, as well as extensive analytic and reporting capabilities. Let’s dive deeper: Data integration. Commission Analysts spend lot of time in ensuring that the incoming data is consistent and accurate. Pre-Packaged Model.

Sales 52

Sales Management Reporting Interactive 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Ontotext

OCTOBER 19, 2023

We know very well that the FAIR principles are influenced by the Linked Data Principles, which play a significant role at the core of knowledge graphs. In particular, in situations where storing personal data in one place would be problematic, knowledge graphs enable easy linking and querying of data, taking a step in this direction.

Unstructured Data 64

Unstructured Data Structured Data Publishing Machine Learning 64

erwin

JUNE 4, 2020

The Financial Times reported Google, Amazon, Apple, Facebook and Microsoft have made 19 deals so far this year, according to Refinitiv, the London-based global provider of financial market data. These drawbacks mean businesses have to ensure their systems are fully documented and rationalized. they don’t have to be so hard.

Enterprise 96

Enterprise Cost-Benefit Strategy Modeling 96

IBM Big Data Hub

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

Cost-Benefit 97

Cost-Benefit Testing Risk Strategy 97

IBM Big Data Hub

JULY 26, 2023

The process requires meticulous documentation and tracking systems to ensure accurate evaluation, allocation, and monitoring of expenses. They provide flexibility in organizing budget data, performing calculations, and generating reports.

Cost-Benefit 60

Cost-Benefit Optimization Visualization Data-driven 60

Smart Data Collective

JULY 15, 2021

This means that they can be ideal for data cleansing and maintenance. Data catalogs also let employees see the changes in stored and utilized information sets over time. Staff charged with overseeing data integrity and viability can view life cycles of information sets. What Does a Data Catalog Consist Of?

Metadata 128

Metadata IT Data-driven Data Quality 128

Ontotext

NOVEMBER 23, 2023

If there are any inconsistencies, the shapes will be rejected and you will receive a violation report. Data engineers think about “shapes” and “data” separately and treating shapes as data is an implementation detail. The next step is to get out there and challenge your data quality dragons.

Data Quality 69

Data Quality Reporting Metadata IT 69

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Octopai

JUNE 1, 2020

Data mapping is the cornerstone of many important business intelligence processes: Data Integration – Even if systems are compatible, combining two disparate data repositories still requires meticulous data mapping.

Metadata 52

Metadata Data Warehouse Data Integration Finance 52

Ontotext

APRIL 6, 2023

It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. And that’s not all. Some of the top U.S.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Jet Global

MAY 1, 2020

Recently released is a report by Gartner about all the things that can go wrong in your BI implementation. In Gartner’s report, an analyst goes to great pains to say that there is “much more risk associated to non-technology issues than there is to deploying the infrastructure, tools, and apps.”. They might even have different agendas.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

Andrew White

NOVEMBER 14, 2022

Data and analytics (or data, or information) governance is a shambles for many organizations, and a success for very few. See Data and Analytics Governance as a Business Capability: A Gartner Trend Insight Report. If not, a data catalog won’t be needed for at least 9 months. Do What I Do, Not What I Say.

Data Integration 52

Data Integration Technology Data Governance Analytics 52

AWS Big Data

OCTOBER 20, 2023

Regarding the Azure Data Lake Storage Gen2 Connector, we highlight any major differences in this post. AWS Glue is a serverless data integration service that makes it simple to discover, prepare, and combine data for analytics, machine learning, and application development. Learn more in README.

Data Lake 80

Data Lake Big Data Consulting Data Warehouse 80

Ontotext

AUGUST 5, 2020

Accessible are data that can be retrieved by the identifier via a standardized protocol that is open, free and universally implementable. Interoperable data refers to formal, accessible, shared, and broadly applicable language for knowledge representation which allows for data integration with other data sources without ambiguity.

Metadata 52

Metadata Insurance Manufacturing Data Integration 52

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping.

Data Governance 40

Data Governance Risk Metadata Management 40

Ontotext

JULY 26, 2019

Knowledge graphs are now also a buzzword among companies who are looking to integrate data from multiple sources and break the silos their legacy systems have left them with. As we read in Gartner’s report, knowledge graphs are “ ideally suited to storing data extracted from the analysis of unstructured sources ”.

Technology 75

Technology Enterprise Data Integration Management 75

O'Reilly on Data

DECEMBER 12, 2019

Security vulnerabilities : adversarial actors can compromise the confidentiality, integrity, or availability of an ML model or the data associated with the model, creating a host of undesirable outcomes. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8].

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191