CIO Business Intelligence

NOVEMBER 22, 2022

Every enterprise needs a data strategy that clearly defines the technologies, processes, people, and rules needed to safely and securely manage its information assets and practices. Here’s a quick rundown of seven major trends that will likely reshape your organization’s current data strategy in the days and months ahead.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

CIO Business Intelligence

JULY 6, 2023

Metadata from these applications will be combined with foundational models to offer generative AI assistants inside these applications to increase employee productivity, Batta said, likening the planned assistant to Microsoft’s Clippy. Similarly, ServiceNow also enhanced its generative AI assistant last month.

Strategy 112

Strategy Metadata Enterprise Modeling 112

Octopai

MARCH 24, 2020

Business Intelligence has a lot depending on it. 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? So, what is BI Intelligence you ask? Business Glossary.

Metadata 43

Metadata Cost-Benefit Business Intelligence ROI 43

datapine

SEPTEMBER 29, 2022

6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. With a shocking 2.5

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

SEPTEMBER 6, 2022

As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. In a first test of the technology, he used Alation to catalog a subset of Very’s data held in an old Teradata database. We’re a Power BI shop,” he says.

IT 98

IT Forecasting Data Lake Enterprise 98

Jet Global

JULY 2, 2019

The sheer scale of data being captured by the modern enterprise has necessitated a monumental shift in how that data is stored. From the humble database through to data warehouses , data stores have grown both in scale and complexity to keep pace with the businesses they serve, and the data analysis now required to remain competitive.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

FineReport

MAY 6, 2020

Manajemen data: ETL (Extract, Transform, Load), pengelolaan data, management responsibility, metadata. Analisis big data: pembelajaran konsep data tidak terstruktur. Berikut adalah pernyataan dan fungsi yang perlu diketahui seorang data analyst. Data Warehouse. Skill Data Mining.

Data mining 98

Data mining Data Warehouse Machine Learning Big Data 98

Alation

JANUARY 26, 2023

Data is a key asset for businesses in the modern world. Used correctly, it can improve internal operations, power marketing strategies, and much more. That’s why many organizations invest in technology to improve data processes, such as a machine learning data pipeline.

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

Alation

SEPTEMBER 7, 2021

With Snowflake, data stewards have a choice to leverage Snowflake’s governance policies. First, stewards are dependent on data warehouse admins to provide information and to create and edit enforcement policies in Snowflake. Data quality details signal to users whether data can be trusted or used.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

CIO Business Intelligence

MARCH 8, 2023

SAP’s Data Warehouse Cloud is evolving, gaining new features and a new name, Datasphere, as the company addresses continued diversification of the enterprise data. Khan said SAP is going beyond the usual capabilities of a data fabric by preserving the business context of the data it carries.

Data Warehouse 52

Data Warehouse Metadata Enterprise Machine Learning 52

AWS Big Data

AUGUST 31, 2023

Amazon Redshift is a fast, fully managed petabyte-scale cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing business intelligence (BI) tools. Iceberg stores the metadata pointer for all the metadata files.

Data Lake 91

Data Lake Data Warehouse Metadata Data Architecture 91

CIO Business Intelligence

DECEMBER 21, 2022

Every day, organizations of every description are deluged with data from a variety of sources, and attempting to make sense of it all can be overwhelming. So a strong business intelligence (BI) strategy can help organize the flow and ensure business users have access to actionable business insights. “By

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

Alation

JANUARY 17, 2023

It is known to have benefits in handling data due to its robustness, speed, and scalability. A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. Better Data Culture.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Business Intelligence 52

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

IBM Big Data Hub

JANUARY 17, 2023

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 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

AWS Big Data

FEBRUARY 21, 2023

Data warehouses play a vital role in healthcare decision-making and serve as a repository of historical data. A healthcare data warehouse can be a single source of truth for clinical quality control systems. What is a dimensional data model? What is a dimensional data model? What is a data vault?

Data Warehouse 64

Data Warehouse Data Lake Cost-Benefit Modeling 64

Jet Global

DECEMBER 1, 2020

Finance teams often work with business intelligence (BI) tools to analyze data, identify trends, pinpoint discrepancies, and build informative, compelling reports for management. In addition, it can be very helpful to have a metadata layer in place that can help non-developers make sense of the information in the database.

Finance 78

Finance Data Warehouse OLAP Reporting 78

AWS Big Data

MARCH 1, 2024

It provides personal and commercial banking, global markets, and investment banking services to 13 million customers. As they continue to implement their Digital First strategy for speed, scale and the elimination of complexity, they are always seeking ways to innovate, modernize and also streamline data access control in the Cloud.

Data Lake 97

Data Lake Data Warehouse Management Risk 97

Alation

JULY 19, 2022

A data catalog can assist directly with every step, but model development. And even then, information from the data catalog can be transferred to a model connector , allowing data scientists to benefit from curated metadata within those platforms. How Data Catalogs Help Data Scientists Ask Better Questions.

Metadata 59

Metadata Data Quality Statistics Data Science 59

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging. .

Cost-Benefit 84

Cost-Benefit Metadata Optimization Management 84

IBM Big Data Hub

JULY 17, 2023

sales conversation summaries, insurance coverage, meeting transcripts, contract information) Generate: Generate text content for a specific purpose, such as marketing campaigns, job descriptions, blogs or articles, and email drafting support. foundation models to help users discover, augment, and enrich data with natural language.

Machine Learning 68

Machine Learning Data Warehouse Modeling Cost-Benefit 68

CIO Business Intelligence

SEPTEMBER 22, 2023

Deploying a DMP can be a great way for companies to navigate a business world dominated by data, and these platforms have become the lifeblood of digital marketing today. In these instances, data feeds come largely from advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 105

Management Advertising Data Lake Sales 105

CIO Business Intelligence

JUNE 9, 2022

Lately, however, the term has been adopted by marketing teams, and many of the data management platforms vendors currently offer are tuned to their needs. In these instances, data feeds come largely from various advertising channels, and the reports they generate are designed to help marketers spend wisely.

Management 144

Management Advertising Data Lake Sales 144

CIO Business Intelligence

NOVEMBER 4, 2022

Fueling innovation with data McCowan is cautious not to restrict the use of external tools — particularly cloud-native tools — that help scientists dig for discoveries. At the data pipeline level, scientists use Apigee, Airflow, NiFi, and Kafka. At the data warehouse level, scientists use Redshift.

Data Lake 124

Data Lake IT Experimentation Data-driven 124

Octopai

SEPTEMBER 10, 2019

It is important to note when differentiating between the two that they are mainly silo – or project-based, and therefore the value they provide across the multi-system business intelligence infrastructure is limited. What is a Data Dictionary? As the name suggests, data dictionaries provide information about your data.

Metadata 40

Metadata Data Governance Cost-Benefit Reporting 40

AWS Big Data

JUNE 9, 2023

This data is then projected into analytics services such as data warehouses, search systems, stream processors, query editors, notebooks, and machine learning (ML) models through direct access, real-time, and batch workflows. Frequent table maintenance needs to be performed to prevent read performance from degrading over time.

Data Lake 111

Data Lake Metadata Optimization Statistics 111

Domino Data Lab

JULY 22, 2019

It’s like why on earth would any business people care about anything called tensor? Now, Google is spending what, 10 figures marketing TensorFlow? One application of this is regarding data governance. Then in the bottom tier, you had your data management, your back office, right? Five years ago, people laughed.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Alation

FEBRUARY 13, 2020

Key analyst firms like Forrester, Gartner, and 451 Research have cited “ soaring demands from data catalogs ”, pondered whether data catalogs are the “ most important breakthrough in analytics to have emerged in the last decade ,” and heralded the arrival of a brand new market: Machine Learning Data Catalogs.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

Octopai

NOVEMBER 13, 2022

Data lineage is the ability to view the path of data as it flows from source to target within your data ecosystem, along with everything that happened to it along the way. And data lineage solutions will also show you any transformations the data underwent on its journey.

Enterprise 77

Enterprise Data Warehouse Reporting Metadata 77

IBM Big Data Hub

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 65

Data Architecture Data Lake Machine Learning Data Governance 65

CIO Business Intelligence

AUGUST 3, 2023

When global technology company Lenovo started utilizing data analytics, they helped identify a new market niche for its gaming laptops, and powered remote diagnostics so their customers got the most from their servers and other devices. Each of the acquired companies had multiple data sets with different primary keys, says Hepworth. “We

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

AWS Big Data

DECEMBER 21, 2023

smava believes in and takes advantage of data-driven decisions in order to become the market leader. The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. This is the Data Mart stage.

Data Lake 87

Data Lake Data Warehouse B2B Data-driven 87

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.”

Metadata 64

Metadata Data Governance Dashboards Software 64

Andrew White

MARCH 22, 2019

to weave together the governance and management of master data, application data, and less-widely shared data, and just enough enterprise metadata management. Your Future Requires You to Define Your Real Master Data. Don’t You Need to Understand Your Business Information Architecture? Age maybe against us.

Analytics 68

Analytics Metadata Data Governance Management 68

Jet Global

FEBRUARY 23, 2024

Data Integration Data integration is the process of connecting data from one system to another, such as when synchronizing customer data between marketing and sales platforms. This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52