CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Information/data governance architect: These individuals establish and enforce data governance policies and procedures.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides.

Unstructured Data 129

Unstructured Data Data-driven Visualization Data Quality 129

CIO Business Intelligence

DECEMBER 11, 2023

Focus on an administrative operation that is expensive, currently relies on heavy manual activity, and is hindered by a large amount of unstructured data. One example is creating an AI-based digital agent to assist with annual membership and enrollment for health plans.

Unstructured Data 75

Unstructured Data Interactive Data-driven Consulting 75

IBM Big Data Hub

JANUARY 5, 2023

Meaning, data architecture is a foundational element of your business strategy for higher data quality. Perform data quality monitoring based on pre-configured rules. Practice proper data hygiene across interfaces. How to build a data architecture that improves data quality.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Laminar Security

AUGUST 21, 2023

The Hype Cycle for Data Security Gartner’s Hype Cycle for Data Security, 2023 covers various aspects of data security that leaders must review based on their risk appetite and data storage, processing, and access practices.

Management 40

Management Risk Unstructured Data Data Strategy 40

AWS Big Data

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 103

Data Lake Sales Data Warehouse Snapshot 103

CIO Business Intelligence

MARCH 29, 2022

An even larger issue is that people may not know how to see value in data. Recognizing what data can tell you is an acquired skill for people beyond just data scientists. New approaches are being developed to understand and use unstructured data, for instance. Reducing data waste.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

BizAcuity

APRIL 14, 2022

Netflix uses big data to make decisions on new productions, casting and marketing and generate millions in revenue through successful and strategic bets. Data Management. Before building a big data ecosystem, the goals of the organization and the data strategy should be very clear. Unstructured Data Management.

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

Cloudera

JULY 29, 2022

Similarly, data should be treated as a corporate asset with a dedicated long-term strategy that lets the organization store, manage, and utilize its data effectively. Currently, 94% of APAC FSI senior business decision makers see the value of secure, centralized governance over the entire data lifecycle. .

Data Architecture 89

Data Architecture Data Strategy Risk Management Strategy 89

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? What are common data challenges for the travel industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

CIO Business Intelligence

MAY 24, 2022

To meet these demands many IT teams find themselves being systems integrators, having to find ways to access and manipulate large volumes of data for multiple business functions and use cases. Without a clear data strategy that’s aligned to their business requirements, being truly data-driven will be a challenge.

Data-driven 94

Data-driven Data Lake Data Warehouse Cost-Benefit 94

Alation

DECEMBER 15, 2021

Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information. Data governance requires a system.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Grooper

AUGUST 19, 2019

Master data management. Data governance. Structured, semi-structured, and unstructured data. Data pipelines. Although data is the foundation and lifeblood of ML and data science, creating a data strategy that is focused on both data quality and business outcomes is critical.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Alation

FEBRUARY 10, 2022

Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Either completed manually or using automation, the data classification process is based on the data’s context, content, and user discretion.

Data Governance 52

Data Governance Risk Insurance Metadata 52

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

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