CIO Business Intelligence

MARCH 22, 2022

Which type(s) of storage consolidation you use depends on the data you generate and collect. . One option is a data lake—on-premises or in the cloud—that stores unprocessed data in any type of format, structured or unstructured, and can be queried in aggregate. Set up unified data governance rules and processes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Cloudera

OCTOBER 11, 2021

Modak’s Nabu is a born in the cloud, cloud-neutral integrated data engineering platform designed to accelerate the journey of enterprises to the cloud. Modak empowers organizations to maximize their ROI from existing analytics infrastructure through interoperability. Cloud Speed and Scale.

Data Lake 95

Data Lake Cost-Benefit Data-driven Dashboards 95

Alation

FEBRUARY 1, 2022

A new research report by Ventana Research, Embracing Modern Data Governance , shows that modern data governance programs can drive a significantly higher ROI in a much shorter time span. And with data collection and replication growing so quickly, governance is more important than ever.

Data Lake 52

Data Lake Data Governance ROI Cost-Benefit 52

erwin

AUGUST 31, 2023

Agile Modeling : Agile methodologies introduced flexibility, allowing data models to evolve alongside changing business needs. Data Governance : Incorporating data governance principles enabled better data management, ensuring data accuracy, consistency, and compliance.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

CIO Business Intelligence

SEPTEMBER 21, 2022

However, as data enablement platform, LiveRamp, has noted, CIOs are well across these requirements, and are now increasingly in a position where they can start to focus on enablement for people like the CMO. Inconsistent data , which can result in inaccuracies in interacting with customers, and affect the internal operational use of data.

Data Lake 105

Data Lake Risk Marketing Data Warehouse 105

CIO Business Intelligence

JUNE 17, 2024

Si tratta di una tappa avanzata della strategia dati, solitamente unita a una massiccia migrazione verso il cloud , che permette alle aziende di essere data-driven e su cui poggiano un netto miglioramento della customer experience e un’efficace applicazione delle tecnologie di intelligenza artificiale.

Data Lake 97

Data Lake Data Warehouse Data Strategy Strategy 97

AWS Big Data

MARCH 7, 2023

A data hub is a center of data exchange that constitutes a hub of data repositories and is supported by data engineering, data governance, security, and monitoring services. A data hub contains data at multiple levels of granularity and is often not integrated.

Analytics 78

Analytics Data Warehouse Data Lake Metadata 78

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 59

Data Architecture Data Lake Machine Learning Data Governance 59

CIO Business Intelligence

AUGUST 14, 2024

Start where your data is Using your own enterprise data is the major differentiator from open access gen AI chat tools, so it makes sense to start with the provider already hosting your enterprise data. Organizations with experience building enterprise data lakes connecting to many different data sources have AI advantages.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

Domino Data Lab

AUGUST 8, 2019

In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking. First and foremost: there’s substantial overlap between what the scientific community is working toward for scholarly infrastructure and some of the current needs of data governance in industry. We did it again.”.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Cloudera

NOVEMBER 12, 2020

Over-sizing” helps during times of peak demand but justifying the ROI for such over-provisioning is next to impossible. For example, the bank from our example might have separate destination data lakes for their perpetual and periodic workloads to support addressing these VIP workloads separately. More than likely it is.

Data Warehouse 104

Data Warehouse Reporting Risk Cost-Benefit 104

Alation

MARCH 21, 2023

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Alation

AUGUST 2, 2022

Customer centricity requires modernized data and IT infrastructures. Too often, companies manage data in spreadsheets or individual databases. This means that you’re likely missing valuable insights that could be gleaned from data lakes and data analytics. Data discovery was conducted 67% times faster.

Cost-Benefit 52

Cost-Benefit Metrics Strategy Data Lake 52

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. D&A governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Corinium

APRIL 25, 2019

I’ve found many IT as well as Business leaders have a mental model of data in that it is simply part of, or belongs to, a specific database or application, and thus they falsely conclude that just procuring a tool to protect that given environment will sufficiently protect that data. In data-driven organizations, data is flowing.

Insurance 150

Insurance Risk IoT Data-driven 150

Data Virtualization

OCTOBER 18, 2022

Reading Time: 4 minutes “Le roi est mort, vive le roi.” The post The Data Warehouse is Dead, Long Live the Data Warehouse, Part I appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Warehouse 98

Data Warehouse ROI Data Integration Internet of Things 98

Cloudera

OCTOBER 10, 2024

It combines the flexibility and scalability of data lake storage with the data analytics, data governance, and data management functionality of the data warehouse. It also prioritizes the tables that must be optimized based on the usage patterns so we are only optimizing when there is real ROI.

Optimization 84

Optimization Snapshot Data Lake Cost-Benefit 84

CIO Business Intelligence

JANUARY 22, 2025

Make mid-scale investments and show ROI both in the short and long term, just like you would on any other project. Fernandes says that IT leaders also need to secure data and IP, especially as agentic AI becomes more prevalent. Poor-quality data undermines even the best AI models, reinforcing the importance of foundational IT work.

Technology 128

Technology Data Governance Risk Data Lake 128

CIO Business Intelligence

DECEMBER 23, 2024

Gli LLM OpenSource sono un altro trend in questo ambito che alcuni direttori IT considerano perch, come spiega Raffaele Schiavullo, CIO di Italia Power, rispondono meglio alla necessit di preservare il data lake aziendale. I big data acquisteranno ancora pi valore e questo sar sempre pi monetizzabile.

Machine Learning 104

Machine Learning Data Governance Data Lake ROI 104