CIO Business Intelligence

JANUARY 8, 2024

Data management is another key priority for Cathay this year, as the company aims to consolidate data feeds and data repositories from its multiple data warehouses to better enable analytics in all applications, Nair says. Cloud Computing, Digital Transformation, Travel and Hospitality Industry

Optimization 119

Optimization Digital Transformation Cost-Benefit Data Warehouse 119

CIO Business Intelligence

JULY 24, 2022

Digital transformation has continued to gain space across public and private sectors. LaTrobe is currently recruiting a replacement who will report to the COO and is expected to work closely with key senior leaders. CIO Australia consistently tracks the moves of IT leaders. Shane Kuret named BankVic CIO. IT Leadership

IT 98

IT Data Lake Digital Transformation Data Warehouse 98

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. Enterprise architect role Enterprise architects typically report to the CIO or other IT managers. Data warehouse. Data modeling.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 128

Jet Global

MARCH 25, 2020

While JD Edwards transactional data is required to run period close reports, analyze trends, and prepare forecasts for planning and budgeting, it comes with a lot of complexity. JD Edwards World has no less than 1600 tables of data to support just its business applications. 1 – What are all your reporting needs? .

Reporting 45

Reporting Finance Sales Visualization 45

CIO Business Intelligence

MARCH 6, 2024

We built that end-to-end data model and process from scratch while we ran the old business. We still operated our core license and maintenance business, but we changed everything, including CRM, revenue recognition, reporting, and customer success to support the new cloud business operating model.

Modeling 116

Modeling Management IT Metrics 116

datapine

MAY 9, 2019

Business intelligence concepts refer to the usage of digital computing technologies in the form of data warehouses, analytics and visualization with the aim of identifying and analyzing essential business-based data to generate new, actionable corporate insights. The data warehouse. 1) The raw data.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

erwin

FEBRUARY 13, 2020

The 2020 State of Data Governance and Automation (DGA) shows that attitudes about data governance and the drivers behind it are changing – arguably for the better. Regulatory compliance was the biggest driver for data governance implementation, according to the 2018 report. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

MARCH 29, 2022

Modern business intelligence starts at the dawn of digital computing. In the 1970s, data was confined to mainframes and primitive databases. Reports required a formal request of the few who could access that data. This led to the birth of separate systems for reporting: the enterprise data warehouse.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Smarten

DECEMBER 19, 2023

There are differences in usability and in the underlying technology, and differences in the solution capabilities to support flexible reporting and collaboration – among other things. One cannot assume that all augmented analytics solutions are created equal! And there is good reason for that.

Analytics 62

Analytics Machine Learning Sales Data Warehouse 62

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

Laminar Security

DECEMBER 13, 2023

This is further exacerbated by the employment of outdated processes or solutions that are ill-equipped to cater to the demands of present-day cloud data security. Traditional methods of data management are no longer sufficient for handling the vast and complex data landscape.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

CIO Business Intelligence

NOVEMBER 8, 2022

When I started in technology, it was very much a ‘support’ discipline, often reporting to a COO/CFO, and the focus was on cost optimisation. As this happened, the role increasingly reported to the CEO and had a voice at the top level. An example is in the data space.

Snapshot 52

Snapshot Digital Transformation Data Warehouse Data-driven 52

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

Sisense

JUNE 8, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.

Data Warehouse 89

Data Warehouse Data-driven Dashboards Sales 89

CDW Research Hub

JULY 2, 2021

Cloud Pak for Security is an open platform for connecting and centralizing data from multiple sources, including IBM solutions, on-premises, private or public cloud, or third-party tools. GDP is a leading data security platform for databases and data warehouses. Automated workflows and long-term data storage.

Cost-Benefit 52

Cost-Benefit Digital Transformation Data Warehouse Risk 52

Cloudera

MAY 12, 2021

In light of a year of unprecedented disruptions, where data has never been so important, and to reflect on the rapidly advancing world of data-led digital transformation, we are excited to announce this year’s 7 categories: DATA LIFECYCLE CONNECTION. DATA FOR GOOD. SECURITY AND GOVERNANCE LEADERSHIP.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

Cloudera

JANUARY 28, 2022

At Cloudera, we firmly advocate that before you start assessing data infrastructure deployments, you must understand the purpose of the data. Are you seeking to improve the speed of regulatory reporting, enhance credit decisioning, personalize the customer journey, reduce false positives, reduce data warehouse costs?

Slice and Dice 111

Slice and Dice Cost-Benefit Risk Data Governance 111

erwin

DECEMBER 12, 2019

Here are some benefits of metadata management for data governance use cases: Better Data Quality: Data issues and inconsistencies within integrated data sources or targets are identified in real time to improve overall data quality by increasing time to insights and/or repair. by up to 70 percent.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Jet Global

JANUARY 6, 2021

It provides a robust, scalable IT infrastructure and stronger integration capabilities that open the door for broader adoption of digital transformation technologies. By using a data warehouse as a means for automating data migration , companies can periodically push data from their live system to a test or development environment.

Cost-Benefit 98

Cost-Benefit Testing Finance Reporting 98

Sisense

DECEMBER 23, 2019

AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. There just aren’t enough AI and data science practitioners to go around to tackle this lofty goal. It’s also a better way to monetize your data in the short term. It’s the future.

Data Lake 86

Data Lake Machine Learning Data Warehouse Digital Transformation 86

Alation

MARCH 31, 2022

Modern BI began when “data” became what we consider it to be today. New reports were initially based on a landscape of mainframes and required a formal request to the few who could access the data and steer the titanic machines to produce the results. The Rise of the Data Warehouse. Early Days.

Business Intelligence 52

Business Intelligence Data-driven Data Warehouse Reporting 52

Alation

DECEMBER 15, 2022

December 2012: Alation forms and goes to work creating the first enterprise data catalog. Later, in its inaugural report on data catalogs, Forrester Research recognizes that “Alation started the MLDC trend.”. May 2016: Alation named a Gartner Cool Vendor in their Data Integration and Data Quality, 2016 report.

Metadata 52

Metadata Data Governance Data Quality Marketing 52

IBM Big Data Hub

NOVEMBER 8, 2023

We are expanding IBM Db2 Warehouse on Power with a new Base Rack Express at a 30% lower entry list price, adding to today’s S, M and L configurations, while still providing the same total-solution experience, including Db2 Data Warehouse’s connectivity with watsonx.data to unlock the potential of data for analytics and AI.

Strategy 97

Strategy Cost-Benefit Data-driven Digital Transformation 97

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

erwin

FEBRUARY 28, 2019

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance.

Digital Transformation 106

Digital Transformation Data Governance Data-driven Data Warehouse 106

CIO Business Intelligence

MAY 28, 2022

Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture. Digital Transformation, IT Leadership, IT Strategy, Project Management Also, an agile mentality and culture are far more important than an agile development methodology, Das says.

IT 137

IT ROI Cost-Benefit Technology 137

AWS Big Data

NOVEMBER 1, 2023

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

Data Warehouse 96

Data Warehouse Snapshot Testing Management 96

CIO Business Intelligence

MAY 25, 2022

Other key elements for agility include establishing a data warehouse, APIs, proper security, and scalable architecture. Digital Transformation, IT Leadership, IT Strategy, Project Management Also, an agile mentality and culture are far more important than an agile development methodology, Das says.

IT 116

IT ROI Cost-Benefit Technology 116

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. This is where a reverse ETL process is needed.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

IBM Big Data Hub

APRIL 24, 2023

Unexpected situations like the COVID-19 pandemic and the ongoing macroeconomic atmosphere are wake-up calls for companies worldwide to exponentially accelerate digital transformation. Why data warehousing is critical to a company’s success Data warehousing is the secure electronic information storage by a company or organization.

Data Warehouse 97

Data Warehouse Data Lake Cost-Benefit Enterprise 97

Cloudera

FEBRUARY 7, 2019

This data is sensitive in nature – so the highest of security protocols need to be maintained, while enabling the majority of business decisions to leverage this key information through the organization’s analytics and reporting capabilities.

Big Data 64

Big Data Data Analytics Analytics Data Architecture 64

Alation

APRIL 25, 2023

It’d be difficult to exaggerate the importance of data in today’s global marketplace, especially for firms which are going through digital transformation (DT). This reduces wait time, conserves resources, and allows you to put that data to work for your business faster. This is where a reverse ETL process is needed.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

BI-Survey

NOVEMBER 23, 2021

However, the operational data stored in data silos was not suitable for this task. Many companies therefore built a data warehouse to consolidate their operational data silos. Data-based insights are being used to automate decisions. Data black holes: the high cost of supposed flexibility.

Digital Transformation 52

Digital Transformation Data Warehouse Data Lake Data-driven 52

CIO Business Intelligence

DECEMBER 21, 2022

BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions. Determining which BI delivery method fits best There are many traditional IT-managed ways to deliver reports and insights from data.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

IBM Big Data Hub

MAY 9, 2023

Watsonx.data will allow users to access their data through a single point of entry and run multiple fit-for-purpose query engines across IT environments. Through workload optimization an organization can reduce data warehouse costs by up to 50 percent by augmenting with this solution. [1]

Data Warehouse 77

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 77

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. Below is the entire set of steps in the data lifecycle, and each step in the lifecycle will be supported by a dedicated blog post(see Fig. ECC will use Cloudera Data Engineering (CDE) to address the above data challenges (see Fig.

Manufacturing 114

Manufacturing Data Warehouse Sales Predictive Analytics 114