CIO Business Intelligence

NOVEMBER 7, 2023

For years, IT and business leaders have been talking about breaking down the data silos that exist within their organizations. Given the importance of sharing information among diverse disciplines in the era of digital transformation, this concept is arguably as important as ever.

Data Warehouse 136

Data Warehouse Digital Transformation Data-driven Reporting 136

CIO Business Intelligence

OCTOBER 13, 2023

Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations.

Data Architecture 122

Data Architecture Data Warehouse Statistics Visualization 122

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Slice and Dice 98

Slice and Dice Digital Transformation Data Warehouse Data Lake 98

Alation

AUGUST 4, 2022

In this article, we’ll take stock of what big data has achieved from a c-suite perspective (with special attention to business transformation and customer experience.). Big Data as an Enabler of Digital Transformation. Big data technologies have been foundational to digital transformation.

Big Data 95

Big Data Digital Transformation Data Lake Data-driven 95

CIO Business Intelligence

JUNE 6, 2023

This idea, which is sometimes called a “data mesh,” is compelling to the many organizations seeking to both digitally transform and become more data driven. The same should apply to the data that people in organizations need.” However, most enterprises treat data as a centralized and protected asset.

Management 52

Management Data Warehouse Data Lake Digital Transformation 52

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

CIO Business Intelligence

AUGUST 8, 2022

Parlaying its partnership with Microsoft into an opportunity to push its desktop needs further into the cloud, Grant Thornton has been able to accelerate a digital transformation that sees more of Swift’s IT team freed up to tackle higher-level work around analytics and AI. Today, roughly 85% of the firm’s data is in the cloud.

Cost-Benefit 91

Cost-Benefit Digital Transformation Testing Data Warehouse 91

erwin

FEBRUARY 19, 2021

It harvests metadata from various data sources and maps any data element from source to target and harmonize data integration across platforms. With this accurate picture of your metadata landscape, you can accelerate Big Data deployments, Data Vaults, data warehouse modernization, cloud migration, etc.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

CIO Business Intelligence

NOVEMBER 23, 2022

Modern EA strategies now extend this philosophy to the entire business, not just IT, to ensure the business is aligned with digital transformation strategies and technological growth. 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 116

Enterprise Cost-Benefit Digital Transformation Strategy 116

Smart Data Collective

APRIL 29, 2020

Data management has become a fundamental business concern, and especially for businesses that are going through a digital transformation. A survey from Tech Pro Research showed that 70 percent of organisations already have a digital transformation strategy or are developing one. Data transformation.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

CIO Business Intelligence

DECEMBER 19, 2022

It’s hard work to identify the genuineness of property documents and then tracing its legacy all the way from the first buyer till now. We have ensured that all our data is generated and stored in a single place in a manner such that anybody can consume and use it. Digital Transformation. With ChatGPT, DALL.E,

Data Warehouse 113

Data Warehouse Finance Machine Learning Technology 113

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

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

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

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

erwin

APRIL 2, 2021

And knowing the business purpose translates into actively governing personal data against potential privacy and security violations. Do You Know Where Your Sensitive Data Is? Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

IBM Big Data Hub

JULY 17, 2023

These encoder-only architecture models are fast and effective for many enterprise NLP tasks, such as classifying customer feedback and extracting information from large documents. While they require task-specific labeled data for fine tuning, they also offer clients the best cost performance trade-off for non-generative use cases.

Machine Learning 63

Machine Learning Data Warehouse Modeling Cost-Benefit 63

Sisense

APRIL 7, 2020

In addition, this data lives in so many places that it can be hard to derive meaningful insights from it all. This is where analytics and data platforms come in: these systems, especially cloud-native Sisense, pull in data from wherever it’s stored ( Google BigQuery data warehouse , Snowflake , Redshift , etc.).

Big Data 86

Big Data Data Warehouse Cost-Benefit Snapshot 86

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

Jedox

MARCH 11, 2021

A data silo typically consists of stored data that is not available to the entire organization, but only to some parts of it, such as departments, teams, or even individual employees, and is thus siloed within the organization. They are contrary to the approach of a data warehouse.

Sales 80

Sales Optimization Digital Transformation Data Warehouse 80

Jet Global

SEPTEMBER 1, 2023

Manual financial reporting means you have to go back and edit every downstream document. Siloed Narratives: Users have multiple systems of record for narrative content, so the data must be manually distributed and is not synchronized across platforms and documents associated with the year-end reporting cycle.

Management 52

Management Finance Reporting Uncertainty 52

Cloudera

SEPTEMBER 10, 2018

The other day, it struck me how similar this is to how organizations digitally transform and become data-driven. Your raw material is data instead of wood, and you use multidisciplinary analytics rather than woodworking tools like a hammer, saw, and sander. With that in place, what will be your first project?

Analytics 40

Analytics Data Warehouse Cost-Benefit Metadata 40

Jet Global

JUNE 21, 2021

It’s a vision outlined by the OECD’s Forum on Tax Administration (FTA) in a discussion document called Tax Administration 3.0: The Digital Transformation of Tax Administration. Beyond that, there could be a move to information exchange direct from system to system. Again, it’s not a change that can be adopted soon.

Recreation/Entertainment 98

Recreation/Entertainment Digital Transformation Finance Reporting 98

Jet Global

MARCH 4, 2024

In the face of accelerating digital transformation, technology teams managing SAP systems face a complex data processing landscape. The cloud migration wave presents both opportunities and complexities, demanding seamless data movement between SAP and cloud-based applications.

ROI 52

ROI Data Processing Reporting Software 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

Alation

JUNE 9, 2021

We have an explosion, not only in the raw amount of data, but in the types of database systems for storing it ( db-engines.com ranks over 340) and architectures for managing it (from operational datastores to data lakes to cloud data warehouses). Organizations are drowning in a deluge of data.

Data Governance 59

Data Governance Data-driven Machine Learning Data Lake 59

Jet Global

FEBRUARY 23, 2024

PIM can be added to boost your already successful e-commerce and/or catalog efforts, or it can be the vital foundation to a new platform or digital transformation, increasing the likelihood of success and ROI.

Management 52

Management Sales Publishing Data Quality 52

Jet Global

APRIL 30, 2021

The process of embedding XBRL tags into the XHTML document to produce the Inline XBRL (iXBRL) output requires software. While few finance teams relish the idea of root-and-branch digital transformation of their function, many aspire to be strategic advisers to the business.

Finance 98

Finance Recreation/Entertainment Reporting Software 98

Jet Global

JANUARY 31, 2022

Digital transformation has accelerated as organizations have been forced to adopt new operational models. This has been driven by the recent need to work remotely, and the increased tendency for regulatory bodies to either encourage or mandate digital reporting across the board. insightsoftware’s Response.

Finance 52

Finance Technology Recreation/Entertainment Reporting 52

Alation

FEBRUARY 13, 2020

Figure 2 illustrates how analysis processes change when analysts work with a data catalog. Figure 2 – Process With and Without a Data Catalog. The process is fraught with trial and error, waste and rework, and repeated dataset searching that often leads to working with “close enough” data as time is running out.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64