AWS Big Data

JANUARY 31, 2023

In addition, data governance is required to comply with an increasingly complex regulatory environment with data privacy (such as GDPR and CCPA) and data residency regulations (such as in the EU, Russia, and China).

Data Lake 84

Data Lake Data Governance Data Architecture Machine Learning 84

CIO Business Intelligence

AUGUST 10, 2022

These obstacles include technical debt emerging from on-premise systems and muddled business processes, frustrating data silos, and ever more complex regulations. However, organisations that can’t meet these growing expectations for personalised experiences risk losing market share. Those who don’t modernise risk missing out.

Data-driven 52

Data-driven Data Processing Risk Data Architecture 52

Alation

MARCH 31, 2023

Ehtisham Zaidi, Gartner’s VP of data management, and Robert Thanaraj, Gartner’s director of data management, gave an update on the fabric versus mesh debate in light of what they call the “active metadata era” we’re currently in. The foundations of successful data governance The state of data governance was also top of mind.

Data Analytics 52

Data Analytics Analytics Metadata Data Governance 52

TDAN

AUGUST 1, 2023

Rural areas worldwide are disconnected in a landscape that nearly requires the internet to work or socially interact. But eventually, the entire planet will have equal, high-speed internet access. Neglecting the digital divide and broadband gap will cause cybersecurity concerns for communities entering the digital era.

Interactive 52

Interactive Risk Management Data Architecture Risk 52

IBM Big Data Hub

JUNE 23, 2023

To accelerate speed-to-market, grow the business with new innovative products and services, gain new and deeper risk insights, and improve customer experience, most companies are also emphasizing digital transformation. Core modernization (processes and technology) is a top priority for every insurer.

Insurance 59

Insurance Cost-Benefit Digital Transformation Marketing 59

Sisense

SEPTEMBER 3, 2020

ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance. Business analysts may work together with data scientists and data analysts in areas such as metric definition and database design.

Statistics 97

Statistics Metrics Visualization Finance 97

Cloudera

AUGUST 22, 2021

For enterprises in particular, a multi-cloud strategy utilizing both public and private clouds presents an enticing option to diversify risk, increase security and maximise innovation. In the past, businesses tended to hesitate to move critical workloads or sensitive data to the cloud, especially to the public cloud.

Cost-Benefit 103

Cost-Benefit Strategy IoT ROI 103

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. Amazon DataZone data assets can be updated at varying frequencies. config("spark.jars.packages", pydeequ.deequ_maven_coord).config("spark.jars.excludes",

Data Quality 93

Data Quality Visualization Metadata Metrics 93

AWS Big Data

JUNE 29, 2023

Therefore, over time, multiple Data Definition Language (DDL) or Data Control Language (DCL) queries, such as CREATE, ALTER, DROP, GRANT, or REVOKE SQL queries, are run on the Amazon Redshift data warehouse, which are sensitive in nature because they could lead to dropping tables or deleting data, causing disruptions or outages.

Data Warehouse 61

Data Warehouse Dashboards Testing Visualization 61

IBM Big Data Hub

DECEMBER 1, 2023

Role of generative AI in digital transformation and core modernization Whether used in routine IT infrastructure operations, customer-facing interactions, or back-office risk analysis, underwriting and claims processing, traditional AI and generative AI are key to core modernization and digital transformation initiatives.

Insurance 101

Insurance Digital Transformation Unstructured Data Risk 101

Cloudera

JANUARY 30, 2023

This dark data resides everywhere in the enterprise, siloed in multiple data repositories, from laptops and mobile devices to data lakes and applications. The purpose of this blog isn’t to emphasize the cyber risk of dark data but to spotlight its implications.

IoT 80

IoT Data Architecture Data Lake Machine Learning 80

Alation

APRIL 14, 2022

A useful feature for exposing patterns in the data. Supports the ability to interact with the actual data and perform analysis on it. Edge computing can be decentralized from on-premises, cellular, data centers, or the cloud. Problems arise when data sources are semantically incompatible. Parametrization.

Metadata 59

Metadata Data Governance Modeling Data-driven 59

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. Then, you transform this data into a concise format.

Data Strategy 71

Data Strategy Strategy Data Warehouse Prescriptive Analytics 71

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Champions . Winner: OVO.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

AWS Big Data

MARCH 28, 2024

With these frameworks and related open-source projects, you can process data for analytics purposes and BI workloads. Sakti Mishra is a Principal Solutions Architect at AWS, where he helps customers modernize their data architecture and define their end-to-end data strategy, including data security, accessibility, governance, and more.

Optimization 84

Optimization IT Big Data Data Processing 84

IBM Big Data Hub

AUGUST 4, 2023

Traditionally, data was seen as information to be put on reserve, only called upon during customer interactions or executing a program. Today, the way businesses use data is much more fluid; data literate employees use data across hundreds of apps, analyze data for better decision-making, and access data from numerous locations.

Data Architecture 62

Data Architecture Data Lake Machine Learning Data Governance 62

Cloudera

JULY 20, 2021

Risk models for financial institutions and insurers are exponentially more complicated . So relying upon the past for future insights with data that is outdated due to changing customer preferences, the hyper-competitive world and emphasis on environment, society and governance produces non-relevant insights and sub-optimized returns.

Manufacturing 101

Manufacturing Forecasting IoT Insurance 101

IBM Big Data Hub

AUGUST 15, 2023

AI starts with data To launch a truly effective AI program for your business, you must have clean quality datasets and an adequate data architecture for storing and accessing it. Building an effective hybrid multicloud model is essential for AI to manage the massive amounts of data that must be stored, processed and analyzed.

IT 78

IT Data Governance Modeling Cost-Benefit 78

AWS Big Data

FEBRUARY 27, 2024

Machine learning analytics – Various business units, such as Servicing, Lending, Sales & Marketing, Finance, and Credit Risk, use machine learning analytics, which run on top of the dimensional model within the data lake and data warehouse. This enables data-driven decision-making across the organization.

Data-driven 98

Data-driven Data Lake Data Quality Data Governance 98

CIO Business Intelligence

AUGUST 3, 2023

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. 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

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 93

Data Lake Data Warehouse Data-driven B2B 93

AWS Big Data

JULY 14, 2023

These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture. Our source system and domain teams were mapped as data producers, and they would have ownership of the datasets.

Finance 85

Finance Metadata Big Data Recreation/Entertainment 85

Jet Global

MAY 1, 2023

This is in contrast to traditional BI, which extracts insight from data outside of the app. As rich, data-driven user experiences are increasingly intertwined with our daily lives, end users are demanding new standards for how they interact with their business data. Yes—but basic dashboards won’t be enough.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52