CIO Business Intelligence

SEPTEMBER 21, 2023

ML was used for sentiment analysis, and to scan documents, classify images, transcribe recordings, and other specific functions. One of the best immediate use cases is summarizing documents and extracting information from material, he says. But it’ll enable people to do higher-value work than they are currently able to do.”

Enterprise 128

Enterprise Consulting Modeling Cost-Benefit 128

Cloudera

AUGUST 30, 2022

It outlines a scenario in which “recently married people might want to change their names on their driver’s licenses or other documentation. That should be easy, but when agencies don’t share data or applications, they don’t have a unified view of people. Modern data architectures. Forrester ).

Data Architecture 79

Data Architecture Data Lake Metadata Data Warehouse 79

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

AWS Big Data

FEBRUARY 8, 2023

Conclusion AWS Glue facilitated the data extraction, transformation, and loading process from different ERPs into Salesforce SMAX to improve Vyaire’s products and its related information visibility to service technicians and tech support users. To learn more about AWS Glue, check out AWS Glue Documentation.

Testing 72

Testing Data Integration Data Lake Enterprise 72

BI-Survey

AUGUST 21, 2020

But what are the right measures to make the data warehouse and BI fit for the future? Can the basic nature of the data be proactively improved? The following insights came from a global BARC survey into the current status of data warehouse modernization. They are opting for cloud data services more frequently.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. Modeling Your Data for Performance. Data architecture. The data landscape has changed significantly over the last two decades.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Cloudera

AUGUST 9, 2022

Data platforms are no longer skunkworks projects or science experiments. As customers import their mainframe and legacy data warehouse workloads, there is an expectation on the platform that it can meet, if not exceed, the resilience of the prior system and its associated dependencies.

Data Lake 78

Data Lake Data Warehouse Data-driven IoT 78

Alation

APRIL 14, 2022

Similar to a data warehouse schema, this prep tool automates the development of the recipe to match. Edge computing can be decentralized from on-premises, cellular, data centers, or the cloud. Problems arise when data sources are semantically incompatible. Record-keeping in a data catalog is key. Scheduling.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

BI-Survey

NOVEMBER 23, 2021

The transactional data was stored in isolated data sets and initially served only one purpose, namely, to document the transaction that had taken place. Over time, enterprises realized that data is worth more. However, the operational data stored in data silos was not suitable for this task.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users.

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

Ontotext

FEBRUARY 26, 2024

Firstly, on the data maturity spectrum, the vast majority of organizations I’ve spoken with are stuck in the information stage. They have massive amounts of data they’re collecting and storing in their relational databases, document stores, data lakes, and data warehouses.

Technology 52

Technology Cost-Benefit Data-driven Metadata 52

O'Reilly on Data

SEPTEMBER 11, 2019

But we wanted to see what an analysis of the event’s proposal data itself might reveal about the state of the field at this point in time. So, we used a form of the Term Frequency-Inverse Document Frequency (TF/IDF) technique to identify and rank the top terms in this year’s Strata NY proposal topics—as well as those for 2018, 2017, and 2016.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

AWS Big Data

JUNE 9, 2023

A modern data architecture enables companies to ingest virtually any type of data through automated pipelines into a data lake, which provides highly durable and cost-effective object storage at petabyte or exabyte scale.

Data Lake 113

Data Lake Metadata Optimization Statistics 113

CIO Business Intelligence

NOVEMBER 7, 2023

Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems. Companies should also incorporate data discovery, Higginson says.

Data Warehouse 139

Data Warehouse Digital Transformation Data-driven Reporting 139

BI-Survey

DECEMBER 22, 2020

Providing an easily accessible description of individual data sources and their dependencies and processing flows is an important step. Data catalog platforms are ideal for this purpose. The usability of data documentation for business users stands and falls with an overarching business glossary.

Data-driven 52

Data-driven Data Strategy Strategy Enterprise 52

Jet Global

MARCH 4, 2024

However, this optimism often overlooks the reality of the situation: complex data architecture, mountains of manual tasks, and hidden inefficiencies in processing. Like an iceberg below the surface, these realities crash into expectations, leading to frustration and missed opportunities.

ROI 52

ROI Data Processing Reporting Software 52

Jet Global

JULY 28, 2023

Buying: With outsourced analytics solutions, there’s no need to worry about product maintenance, training, or documentation, since vendors extensively document their platforms. Make sure your data environment is good-to-go. Meaning, the solutions you think about should mesh with your current data architecture.

Analytics 52

Analytics Software Business Intelligence Reporting 52

Jet Global

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Read carefully.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52