CIO Business Intelligence

MAY 15, 2024

The ability to leverage data to understand and plan for those behaviors is extremely important. How did you improve the organization’s data literacy? Once we set up a data architecture that provides data liquidity, where data can go everywhere, we had to teach people how to use it.

Cost-Benefit 95

Cost-Benefit Data Governance Data Architecture Reporting 95

Alation

APRIL 25, 2023

That means if you haven’t already incorporated a plan for data governance into your long-term vision for your business, the time is now. Let’s take a closer look at what data governance is — and the top five mistakes to avoid when implementing it. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

CIO Business Intelligence

OCTOBER 13, 2023

They often report to data infrastructure and data science leads. Data architecture is a complex and varied field and different organizations and industries have unique needs when it comes to their data architects.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

IBM Big Data Hub

APRIL 10, 2023

A well-designed data architecture should support business intelligence and analysis, automation, and AI—all of which can help organizations to quickly seize market opportunities, build customer value, drive major efficiencies, and respond to risks such as supply chain disruptions.

Strategy 96

Strategy Data Architecture Cost-Benefit Reporting 96

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. Lake Formation – Lake Formation emerged as a cornerstone in Bluestone’s data governance strategy.

Data-driven 97

Data-driven Data Lake Data Quality Data Governance 97

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. Telco organizations are planning to move towards hybrid multi-cloud to manage data better and support their workforces in the near future. 2- AI capability drives data monetization.

Optimization 78

Optimization Data Architecture Data Governance Digital Transformation 78

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

AWS Big Data

JANUARY 24, 2023

AWS Lake Formation helps with enterprise data governance and is important for a data mesh architecture. It works with the AWS Glue Data Catalog to enforce data access and governance. The utility reports the number of objects modified during its run.

Data Architecture 67

Data Architecture Metadata Data Lake Snapshot 67

CIO Business Intelligence

AUGUST 2, 2023

So Thermo Fisher Scientific CIO Ryan Snyder and his colleagues have built a data layer cake based on a cascading series of discussions that allow IT and business partners to act as one team. Martha Heller: What are the business drivers behind the data architecture ecosystem you’re building at Thermo Fisher Scientific?

Manufacturing 97

Manufacturing Data Architecture Strategy Data Strategy 97

BI-Survey

AUGUST 21, 2020

The data landscape and the data integration tasks to be solved are often too complex. Leaders rely less on data mart deployment than on lean, flexible architectures and usable data based on cloud services, a complementary data lake, data governance, data hubs and data catalogs.

Data Warehouse 98

Data Warehouse Data Lake Data Governance Data Architecture 98

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

FEBRUARY 28, 2024

One of the key ingredients to ensure data is really embedded in an organization, and one of the key enablers to increase the strategic impact of data, is the setup of a successful data governance program. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool.

Metadata 52

Metadata Data Governance Data Quality Technology 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

AWS Big Data

DECEMBER 21, 2023

The data products used inside the company include insights from user journeys, operational reports, and marketing campaign results, among others. The data platform serves on average 60 thousand queries per day. The data volume is in double-digit TBs with steady growth as business and data sources evolve.

Data Lake 92

Data Lake Data Warehouse Data-driven B2B 92

BI-Survey

JANUARY 15, 2023

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. But is it really?

Data Warehouse 52

Data Warehouse IT Data Architecture Measurement 52

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Cost savings By identifying areas where data management processes can be optimised, organisations can reduce costs associated with data management and analysis.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

IBM Big Data Hub

AUGUST 24, 2022

Recently, IBM was named a Leader in the 2022 Gartner® Magic Quadrant for Data Integration Tool s , and though the data landscape is constantly shifting and evolving, IBM has been a consistent Leader in the report for 17 years. Multi-directional data movement topology with high volume and low-latency integration.

Data Integration 88

Data Integration Metadata Data-driven Data Architecture 88

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. 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.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Jen Stirrup

MARCH 29, 2023

Put together, these factors help to provide the company with a competitive advantage since better data – and better use of data – leads to better strategies. Data as a product as well as a foundation The data foundation is critical for all types of reporting and analytics.

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

Octopai

APRIL 19, 2021

Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights. Additionally, the BI team will have trouble pinpointing the cause of errors, leading to inaccurate reports. It is published by Robert S.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

Octopai

JULY 9, 2020

Actually, effective data lineage delivers important enhancements to BI and enables informed decision-making , as it enables data teams to tackle numerous use cases such as regulatory compliance, system upgrades & migrations, M&A (system consolidation), reporting inaccuracies, business changes etc.

Insurance 86

Insurance Risk Management Machine Learning Metadata 86

AWS Big Data

MARCH 10, 2023

It allows you to time travel and roll back to old versions of committed data transactions, control the table’s schema evolution, easily compact data, and employ hidden partitioning for fast queries. The business zone stores data specific to business cases and applications aggregated and computed from data in the transformed zone.

Data Lake 105

Data Lake Sales Data Warehouse Snapshot 105

CIO Business Intelligence

JUNE 20, 2022

Jess Morley , policy lead at Bennett Institute, said on Twitter that the strategy showed a “rare willingness to move beyond aphorisms, and get into technical detail”, with the document not shying aware from complex questions around data architecture, and setting a ‘clearable achievable and readily available roadmap.’.

Data Strategy 104

Data Strategy Strategy Digital Transformation Data Architecture 104

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 83

Data Architecture Risk Management Risk Management 83

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 129

Digital Transformation Strategy Data-driven Data Strategy 129

AWS Big Data

APRIL 19, 2023

Every day, customers are challenged with how to manage their growing data volumes and operational costs to unlock the value of data for timely insights and innovation, while maintaining consistent performance. As data workloads grow, costs to scale and manage data usage with the right governance typically increase as well.

Data Warehouse 56

Data Warehouse Data Lake Unstructured Data Optimization 56

AWS Big Data

MAY 17, 2023

The service has grown into a multifaceted service used by tens of thousands of customers to process exabytes of data on a daily basis (1 exabyte is equivalent to 119 billion song downloads ). From 2019 to now, Wang reports the amount of data the company holds has grown by a factor of 20.

Data Warehouse 114

Data Warehouse Cost-Benefit Sales Data-driven 114

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Master Data – additional definition (contributor: Scott Taylor ).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. Control of Data to ensure it is Fit-for-Purpose. Data Architecture / Infrastructure. I will start at the top left and work across and then down.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 84

Finance Metadata Big Data Recreation/Entertainment 84

Cloudera

JANUARY 12, 2018

However, it’s imperative to find people who have an intense interest in the data that they are working with. Almost anyone can produce a result, but true data engineers will closely scrutinize and check it. Image 1: Data Engineering Skillsets. Then this information must be executed against by the data engineers.

Big Data 53

Big Data Data Architecture Data Governance Reporting 53

Cloudera

JULY 29, 2022

Most importantly, it helps organizations control costs and reduce risks, enforcing consistent security and governance across all enterprise data assets.”. Within Asia Pacific (APAC), telco and FSI have been at the forefront of adopting data analytics to better understand their customers and deliver customized products and services.

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

Peter James Thomas

OCTOBER 30, 2018

Most of the time, the article does nothing more than to reflect the continuing confusion about whether or not organisations need CDOs and – assuming that they do – what their remit should be and who they should report to [4]. It may be to build a new (or a first) Data Architecture. It may be to improve Data Quality.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

AWS Big Data

NOVEMBER 13, 2023

11:30 AM – 12:30 PM (PDT) Ceasars Forum ANT318 | Accelerate innovation with end-to-end serverless data architecture. 4:30 PM – 5:30 PM (PDT) Wynn ANT207 | Understand your data with business context. 1:00 PM – 2:00 PM (PDT) Venetian ANT201 | Accelerate innovation with real-time data.

Analytics 113

Analytics Data Lake Data Warehouse Data-driven 113

Cloudera

FEBRUARY 15, 2024

Seeing the future in a modern data architecture The key to successfully navigating these challenges lies in the adoption of a modern data architecture. The promise of a modern data architecture might seem like a distant reality, but we at Cloudera believe data can make what is impossible today, possible tomorrow.

Insurance 86

Insurance Data Architecture Risk Management Risk 86

CIO Business Intelligence

FEBRUARY 20, 2023

To earn this cert, candidates should know how to maintain and modify Sales Cloud and Service Cloud applications; manage users, data, and security; and construct dashboards, reports, and workflows. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 72

Consulting B2B Cost-Benefit Sales 72