CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key. Data storage costs are exploding.

Management 127

Management Internet of Things Statistics Data-driven 127

CIO Business Intelligence

APRIL 26, 2024

At the core of its strategy is the mountain of data that TransUnion has acquired — along with more than 25 companies — over decades. That data is in the process of being unified on a multilayered platform that offers a variety of data services, including data ingestion, data management, data governance, and data security.

Modeling 86

Modeling IT Machine Learning Data Governance 86

erwin

AUGUST 31, 2023

Let’s explore the continued relevance of data modeling and its journey through history, challenges faced, adaptations made, and its pivotal role in the new age of data platforms, AI, and democratized data access. These systems had limitations in terms of flexibility and scalability.

Data-driven 98

Data-driven Modeling Enterprise Structured Data 98

CIO Business Intelligence

JANUARY 24, 2024

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. They also need to establish clear privacy, regulatory compliance, and data governance policies.

Data Strategy 131

Data Strategy Strategy Unstructured Data Data Governance 131

Laminar Security

AUGUST 21, 2023

As we hit 2023, Gartner’s Hype Cycle for Data Security sheds light on the latest advancements and technologies that can bolster data security including data security posture management (DSPM). Convergence of data security solutions is necessary for consistency of product functionality and workflow efficiency.

Management 40

Management Risk Unstructured Data Data Strategy 40

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. The risks of ignoring end-to-end data lineage are just too great.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

IBM Big Data Hub

AUGUST 15, 2023

To overcome these challenges will require a shift in many of the processes and models that businesses use today: changes in IT architecture, data management and culture. A common phrase you’ll hear around AI is that artificial intelligence is only as good as the data foundation that shapes it.

IT 76

IT Data Governance Modeling Cost-Benefit 76

erwin

OCTOBER 24, 2019

In fact, data professionals spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analysis , according to IDC. To flip this 80/20 rule, they need an automated metadata management solution for: • Discovering data – Identify and interrogate metadata from various data management silos.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Data Virtualization

AUGUST 24, 2023

Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Management Analytics 52

Data Virtualization

AUGUST 24, 2023

Companies are collecting traditional structured data as well as text, machine-generated data, semistructured data, geospatial data, and more.

Structured Data 52

Structured Data Data Integration Management Analytics 52

Alation

JULY 13, 2021

Many organizations continue to handle structured data, transactional data, and log data. However, collection of new data types is increasing, as experts have noticed these same organizations are now also managing internal text data, machine data, and semi-structured data at a greater percent than ever before.

Strategy 52

Strategy Data mining Structured Data Data Governance 52

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. Governing and Tracking ML/AI: The Rise of XAI. However, governance processes are equally important.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

AWS Big Data

MARCH 7, 2023

Decoupled and scalable – Serverless, auto scaled, and fully managed services are preferred over manually managed services. 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.

Analytics 74

Analytics Data Warehouse Data Lake Metadata 74

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side?

Unstructured Data 98

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 98

IBM Big Data Hub

APRIL 25, 2023

Similarly, the relational database has been the foundation for data warehousing for as long as data warehousing has been around. Relational databases were adapted to accommodate the demands of new workloads, such as the data engineering tasks associated with structured and semi-structured data, and for building machine learning models.

Optimization 56

Optimization Strategy Data Warehouse Cost-Benefit 56

Alation

MAY 16, 2023

Data Storage The data storage component of a pipeline provides secure, scalable storage for the data. Various data storage methods are available, including data warehouses for structured data or data lakes for unstructured, semi-structured, and structured data.

Data Lake 69

Data Lake Data Governance Data Warehouse Data Processing 69

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. AWS Glue Data Quality checks for and alerts on poor data, making it straightforward to spot and fix issues before they harm your business.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Alation

OCTOBER 21, 2021

But, on the back end, data lakes give businesses a common repository to collect and store data, streamlined usage from a single source, and access to the raw data necessary for today’s advanced analytics and artificial intelligence (AI) needs. Signs Your Data Lake is Actually a Data Swamp. Irrelevant data.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

erwin

APRIL 18, 2019

Data governance , thankfully, provides a framework for compliance with either or both – in addition to other regulatory mandates your organization may be subject to. Data Governance for Regulatory Compliance. Regulatory compliance remains a key driver for data governance. A Regulatory EDGE.

Data Governance 81

Data Governance Metadata Data-driven Data Collection 81

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset. See a Data Catalog in Action.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

DECEMBER 11, 2020

As mentioned in my previous blog on the topic , the recent shift to remote working has seen an increase in conversations around how data is managed. It established a data governance framework within its enterprise data lake. Driving innovation with secure and governed data .

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Ontotext

JANUARY 10, 2024

Next, I will explain how knowledge graphs help them to get a unified view to data derived from multiple sources and get richer insights in less time. Finally, I will elaborate on the major design patterns and the requirements for an enterprise-wide knowledge graph management platform. We call this the Bad Data Tax.

Metadata 72

Metadata Slice and Dice Data Integration Enterprise 72

Cloudera

SEPTEMBER 29, 2021

Among the use cases for the government organizations that we are working on is one which leverages machine learning to detect fraud in payment systems nationwide. Through processing vast amounts of structured and semi-structured data, AI and machine learning enabled effective fraud prevention in real-time on a national scale. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

Laminar Security

APRIL 18, 2023

However, with each cloud service provider (CSP) having dozens of ways to store, share, and process data, data security becomes increasingly complex, leading to hard-to-manage architectures that are constantly changing and require deep expertise. In fact, almost 90% of enterprises have adopted a multi-cloud infrastructure.

Data Warehouse 52

Data Warehouse Risk Cost-Benefit Structured Data 52

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. The CloudFormation stack also deploys a provisioned Redshift cluster.

Data Analytics 93

Data Analytics Analytics Data Warehouse Data Lake 93

Ontotext

MARCH 18, 2020

According to an article in Harvard Business Review , cross-industry studies show that, on average, big enterprises actively use less than half of their structured data and sometimes about 1% of their unstructured data. The first challenge here is how to enable agile enterprise information management.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

AWS Big Data

JULY 19, 2023

We’ve seen that there is a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With this connector, you can bring the data from Google Cloud Storage to Amazon S3. A Secrets Manager secret to store a Google Cloud secret.

Big Data 85

Big Data Software Consulting Unstructured Data 85

IBM Big Data Hub

JULY 5, 2022

The fact is that databases are truly the engine driving better outcomes for businesses — they’re running your cloud-native apps, generating returns on your investments in AI, and the backbone supporting your data fabric strategy. Data security & governance . Vektis improves healthcare quality through data .

Data Lake 88

Data Lake Data Warehouse Publishing Structured Data 88

AWS Big Data

OCTOBER 20, 2023

We’ve seen a demand to design applications that enable data to be portable across cloud environments and give you the ability to derive insights from one or more data sources. With these connectors, you can bring the data from Azure Blob Storage and Azure Data Lake Storage separately to Amazon S3. option("header","true").load("wasbs://yourblob@youraccountname.blob.core.windows.net/loadingtest-input/100mb")

Data Lake 86

Data Lake Big Data Consulting Data Warehouse 86

Alation

MAY 16, 2023

Data Storage The data storage component of a pipeline provides secure, scalable storage for the data. Various data storage methods are available, including data warehouses for structured data or data lakes for unstructured, semi-structured, and structured data.

Data Lake 40

Data Lake Data Governance Data Warehouse Data Processing 40

AWS Big Data

DECEMBER 15, 2023

Solution overview With this solution, we detect PII in data on our Redshift data warehouse so that the we take and protect the data. Conclusion With this solution, you can automatically scan the data located in Redshift clusters using an AWS Glue job, identify PII, and take necessary actions.

Data Lake 105

Data Lake Data Warehouse Big Data Structured Data 105

AWS Big Data

DECEMBER 21, 2023

To speed up the self-service analytics and foster innovation based on data, a solution was needed to provide ways to allow any team to create data products on their own in a decentralized manner. To create and manage the data products, smava uses Amazon Redshift , a cloud data warehouse.

Data Lake 91

Data Lake Data Warehouse Data-driven B2B 91

Cloudera

OCTOBER 7, 2021

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g., difficulty to achieve cross-organizational governance model).

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Octopai

MAY 30, 2019

If the point of Business Intelligence (BI) data governance is to leverage your datasets to support information transparency and decision-making, then it’s fair to say that the data catalog is key for your BI strategy. At least, as far as data analysis is concerned. The Benefits of Structured Data Catalogs.

Metadata 40

Metadata Data Governance Data Lake IoT 40

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Jet Global

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

Reporting 52

Reporting Finance Data Quality Sales 52

AWS Big Data

JANUARY 22, 2024

The existing monolith and centralized architecture was struggling to meet the growing demands of data consumers. Data engineers were finding it increasingly challenging to maintain and scale the data infrastructure, resulting in data access, data silos, and inefficiencies in data management.

Data-driven 87

Data-driven Advertising Metadata Data Architecture 87