erwin

SEPTEMBER 3, 2020

Data governance provides time-sensitive, current-state architecture information with a high level of quality. It documents your data assets from end to end for business understanding and clear data lineage with traceability. Automating Data Governance and Enterprise Architecture.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Sisense

JULY 8, 2020

Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Data Lake Data-driven Cost-Benefit 90

Alation

FEBRUARY 20, 2020

Tools like MicroStrategy and Tableau make it easy for business users to quickly turn raw data into visualizations and reports. But before you can even start, you have to find a relevant data set, understand it, and trust it. Complete MicroStrategy Data & Report Cataloging. abc/xyz, etc.).

Reporting 52

Reporting Dashboards Data Governance Visualization 52

datapine

NOVEMBER 19, 2019

Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. This is done using interactive Business Intelligence and Analytics dashboards along with intuitive tools to improve data clarity. They can also optimize their time if they don’t have to reinvent a report.

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

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

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

erwin

FEBRUARY 13, 2020

The numerous data types and data sources that exist today weren’t designed to work together, and data infrastructures have been cobbled together over time with disparate technologies, poor documentation and little thought for downstream integration. Finding metadata, “the data about the data,” isn’t easy.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

Smart Data Collective

JULY 20, 2021

As a standalone product, this software helps professionals with rich sets of spreadsheets, charts and documents. Quip integration tool will allow teams to improve collaborations, export and import live data, enhanced visibility and outstanding device support. This tool will help you to sync and store data from multiple sources quickly.

Sales 141

Sales Big Data Marketing Software 141

erwin

JULY 2, 2020

He added, “We have also linked it to our documentation repository, so we have a description of our data documents.” They have documented 200 business processes in this way. Data Modeling with erwin Data Modeler. As a medical company, they receive data from 17 different health plans. George H.,

Enterprise 122

Enterprise Modeling Metadata Data Governance 122

Cloudera

DECEMBER 10, 2020

Have you been burned by the unexpected costs of a cloud data warehouse? If not, before adopting a cloud data warehouse, consider the true costs of a cloud-native data warehouse. Data warehouses have been broadly adopted to provide timely reports and valuable insights.

Data Warehouse 98

Data Warehouse Metadata Cost-Benefit Optimization 98

Ontotext

MAY 2, 2024

Storage-centric approach In the storage-centric approach, people try to address data silos by throwing everything in a data lake or a data warehouse. But, although, this helps somewhat in terms of architecture, soon these data lakes become unwieldy. Another complication was the existing data silos.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

AWS Big Data

MARCH 7, 2023

Data lakes are more focused around storing and maintaining all the data in an organization in one place. And unlike data warehouses, which are primarily analytical stores, a data hub is a combination of all types of repositories—analytical, transactional, operational, reference, and data I/O services, along with governance processes.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

CIO Business Intelligence

NOVEMBER 23, 2022

Unlike other frameworks, EA doesn’t include a formal documentation structure; instead, it’s intended to offer a more holistic view of the enterprise. Enterprise architect role Enterprise architects typically report to the CIO or other IT managers. Data warehouse. Data modeling. Artificial intelligence (AI).

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

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

Octopai

DECEMBER 10, 2019

This is a company-wide document that defines all important terms used internally, with customers and with vendors. Well, first, it automatically extracts all the objects from the reporting tools and the data warehouse, and then creates them within the business glossary with all descriptions from the system of origin.

Metadata 53

Metadata Data Warehouse Reporting Business Intelligence 53

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 95

Data Warehouse Testing Data Lake Data-driven 95

Cloudera

DECEMBER 21, 2023

How long would it take you to find the data you need to even begin to come up with a data-driven response? In this scenario, you also have reports that need updating as well. The SQL AI Assistant recognizes data-centric elements as well; where possible it will recognize things like comparing to the value 1.2

Optimization 66

Optimization Sales Data Warehouse Measurement 66

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Clearly documents data catalog policies, rules and shares information assets.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

datapine

SEPTEMBER 29, 2022

In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. But first, let’s define what data quality actually is. 4 – Data Reporting.

Data Quality 241

Data Quality Metrics Data-driven Management 241

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

Octopai

NOVEMBER 28, 2019

The result was a spider web of connections and relationships that were difficult to manage, characterize, document, and maintain. Just import data from source A into destination database B. A better approach is to leave the data sources alone and bring summarized versions of each into a data warehouse.

Visualization 54

Visualization Metadata Data Warehouse Reporting 54

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

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.”. Risk to the business. View Guide Now.

Data Warehouse 64

Data Warehouse Data Quality Risk Reporting 64

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

CIO Business Intelligence

SEPTEMBER 21, 2023

In a recent report, he estimated that gen AI software revenues will grow from $3.7 He’s currently tracking 262 gen AI vendors, of which 117 specialize in text generation, and plans to produce a new version of the report in the next six months. billion this year to $36 billion by 2028. Then gen AI came out.

Enterprise 130

Enterprise Consulting Modeling Cost-Benefit 130

FineReport

NOVEMBER 17, 2021

Also, with already organized Help Documents and user-friendly, good ecosphere, FineReport provides resources to solve problems. FineReport: When organizing data management, we may face data source replacement. In SQL, the data source table name needs to be changed. Report and Dashboard. Sounds cool, right?

KPI 52

KPI Dashboards Metadata Data Warehouse 52

datapine

JANUARY 24, 2021

Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. ETL data warehouse*. Another significant of your data analytics questions refers to the end users of our analysis. How will they apply your reports?

IT 317

IT Statistics KPI Data-driven 317

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

Jet Global

APRIL 30, 2019

Built from the bones of Dynamics AX, the cloud-based Dynamics 365 Finance & Operations (D365FO) has introduced some new out-of-the-box reporting and analytical capabilities to customers. In this blog post, we are going to cover Data Entities. Many data entities are aimed at specific areas for reporting. Document (Ex.

Finance 73

Finance OLAP Reporting Data Warehouse 73

Octopai

MARCH 24, 2020

Every time someone from Marketing or Sales or HR needs a report created or modified, or every time there’s a problem with some data in a report that needs to be sorted ASAP – who do you call? By unifying different data streams on one platform, a better interpretation of that information is possible. BI, obviously.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

Alation

JUNE 20, 2023

Alation: And you likely had plenty of data even before the acquisition. The challenge wasn’t that we had nothing to document. Data from any other brands we acquired or built were based on the same schema, so an engineering team looking for data would say, “We know about where it is, but we don’t know exactly where it is.”

Technology 52

Technology Data Governance Data Warehouse Software 52

Cloudera

JULY 11, 2023

Cloudera offers Apache Kudu to run in Real Time DataMart Clusters , and Apache Impala to run in Kubernetes in the Cloudera Data Warehouse form factor. What’s Next For complete setup guide refer to CDW documentation on this topic. To know more about Cloudera Data Warehouse please click here.

Data Warehouse 69

Data Warehouse Data-driven Reporting Analytics 69

Sisense

MARCH 20, 2019

MongoDB (or NoSQL) : An open source Database Management System (DBMS), MongoDB uses a document-oriented database model. That means that instead of using tables in rows in a database, MongoDB is made up of collections of documents. Get ready data engineers, now you need to have both AWS and Microsoft Azure to be considered up-to-date.

Big Data 72

Big Data Machine Learning Data Warehouse Unstructured Data 72

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

Alation

DECEMBER 21, 2022

Transactional systems and data warehouses can then use the golden records as the entity’s most current, trusted representation. Data Catalog and Master Data Management. Having good data is crucial to creating golden records. MDM Build Objects. The MDM tool should help with this.

Management 52

Management Data Quality Metadata Testing 52

AWS Big Data

OCTOBER 20, 2023

Conclusion In this post, we showed how to use AWS Glue and the new connector for ingesting data from Azure Blob Storage to Amazon S3. This connector provides access to Azure Blob Storage, facilitating cloud ETL processes for operational reporting, backup and disaster recovery, data governance, and more. Learn more in README.

Data Lake 80

Data Lake Big Data Consulting Data Warehouse 80

Jet Global

APRIL 19, 2021

This puts tremendous stress on the teams managing data warehouses, and they struggle to keep up with the demand for increasingly advanced analytic requests. To gather and clean data from all internal systems and gain the business insights needed to make smarter decisions, businesses need to invest in data warehouse automation.

Data Warehouse 98

Data Warehouse Cost-Benefit OLAP Business Intelligence 98