AWS Big Data

MARCH 10, 2023

However, as data processing at scale solutions grow, organizations need to build more and more features on top of their data lakes. They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. Dimension-based models have been used extensively to build data warehouses.

Data Lake 102

Data Lake Sales Data Warehouse Snapshot 102

CIO Business Intelligence

JANUARY 8, 2024

Data management is another key priority for Cathay this year, as the company aims to consolidate data feeds and data repositories from its multiple data warehouses to better enable analytics in all applications, Nair says.

Optimization 93

Optimization Digital Transformation Cost-Benefit Data Warehouse 93

CIO Business Intelligence

NOVEMBER 23, 2022

Artificial intelligence (AI). Data warehouse. Business intelligence. Data modeling. There are plenty of ways to integrate EA tools into your organization so that they support other systems and processes in the business. Microsoft Azure. Strategy development. Enterprise solutions.

Enterprise 121

Enterprise Cost-Benefit Digital Transformation Strategy 121

AWS Big Data

JUNE 23, 2023

Redshift Serverless is a serverless option of Amazon Redshift that allows you to run and scale analytics without having to provision and manage data warehouse clusters. Redshift Serverless automatically provisions and intelligently scales data warehouse capacity to deliver high performance for all your analytics.

Data Lake 67

Data Lake Cost-Benefit Dashboards Data Warehouse 67

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. Here, I’ll focus on why these three elements and capabilities are fundamental building blocks of a data ecosystem that can support real-time AI.

Data Strategy 109

Data Strategy Strategy Machine Learning Data-driven 109

datapine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Alation

FEBRUARY 20, 2020

Organizations who are so successful in their adoption of self-service analytics, that their own business intelligence (BI) evangelists worry that they’ve created an analytics “wild west.” When they see a data catalog for the first time, they’re thrilled that a product exists that can govern the west and increase analyst productivity.

Marketing 52

Marketing Data Lake Dashboards Business Intelligence 52

Jet Global

JULY 23, 2019

According to Gartner, Microsoft’s Power BI is the number one application ecosystem in the business intelligence environment. Power BI Desktop opens a new era in data analysis and reporting. Power BI Desktop opens a new era in data analysis and reporting. The Power of Excel with Data Warehouse Automation: Jet Analytics.

Dashboards 71

Dashboards Reporting Data Warehouse Visualization 71

AWS Big Data

JULY 19, 2023

Amazon Redshift is a fully managed and petabyte-scale cloud data warehouse that is used by tens of thousands of customers to process exabytes of data every day to power their analytics workload. You can structure your data, measure business processes, and get valuable insights quickly can be done by using a dimensional model.

Modeling 67

Modeling Sales Data Warehouse Snapshot 67

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Data Modelling Patterns 101 Using Power Pivot.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Data Modelling Patterns 101 Using Power Pivot.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Data Modelling Patterns 101 Using Power Pivot.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Acquiring and Preparing Data for Power View and Excel. Data Modelling Patterns 101 using Power Pivot. Tips and Tricks on Charts and Data Models. Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Data Modelling Patterns 101 Using Power Pivot.

Dashboards 40

Dashboards Visualization KPI Interactive 40

Smarten

NOVEMBER 22, 2017

Advanced Analytics is comprised of numerous sophisticated analytical techniques, designed to parse, explore and analyze data and produce results to support business decisions. Advanced Analytics provides a 360 degree view of data from data marts, data warehouses, best-of-breed, legacy systems and other data sources.

Analytics 40

Analytics IT Business Intelligence Visualization 40

Cloudera

SEPTEMBER 12, 2018

Connecting internal, external and unconventional data (such as sensor and video data) helps the organization create an end-to-end product performance strategy, while common governance and security enable self-service capabilities for business users. Modern Data Warehousing: Barclays (nominated together with BlueData ).

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

FineReport

APRIL 21, 2024

From addressing implementation challenges to conducting a comparative analysis of leading options, we delve into how embedded BI tools empower organizations to make informed decisions and drive business intelligence initiatives with unprecedented efficiency and precision. What Are Embedded BI Tools?

Dashboards 52

Dashboards Visualization Interactive Business Intelligence 52

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 74

Metadata Data Lake Data Processing Data-driven 74

Domino Data Lab

APRIL 3, 2019

Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. How did the challenges and opportunities related to security, data management, and system architecture get braided together throughout the past ~6 decades of IT?

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Smarten

NOVEMBER 26, 2023

How Do We Define Business Intelligence Today? Business Intelligence (BI) is the lifeblood of an organization. As the Business Intelligence solution market evolves, it may be difficult for an organization to know when to invest in these tools, and which tools are best for enterprise and user needs.

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

IBM Big Data Hub

MAY 9, 2023

With watsonx, IBM will launch a centralized AI development studio that gives businesses access to proprietary IBM and open-source foundation models, watsonx.data to gather and clean their data, and a toolkit for governance of AI. ” Notably, watsonx.data runs both on-premises and across multicloud environments.

Data Warehouse 78

Data Warehouse Cost-Benefit Recreation/Entertainment Unstructured Data 78

IBM Big Data Hub

JANUARY 18, 2023

Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. A read-optimized platform that can integrate data from multiple applications emerged.

Data Lake 52

Data Lake Data Warehouse Data-driven Metadata 52

Domino Data Lab

JULY 22, 2019

data science’s emergence as an interdisciplinary field – from industry, not academia. why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

JULY 17, 2023

is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. With watsonx.ai, businesses can effectively train, validate, tune and deploy AI models with confidence and at scale across their enterprise.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

CIO Business Intelligence

MARCH 16, 2022

Modern approaches to insurance and changes in customer expectations mean that the insurance business model looks very different than it used to. This change also demands a new business strategy in order to enable the flexibility and agility needed to meet the demands of increasingly tech-savvy and time-sensitive customers.

Insurance 85

Insurance Cost-Benefit Data Processing Strategy 85

CIO Business Intelligence

NOVEMBER 29, 2022

For data warehouses, it can be a wide column analytical table. Many companies reach a point where the rate of complexity exceeds the ability of data engineers and architects to support the data change management speed required for the business.

Data Architecture 98

Data Architecture Data Integration IoT Strategy 98

datapine

AUGUST 29, 2022

Due to this book being published recently, there are not any written reviews available. 4) Big Data: Principles and Best Practices Of Scalable Real-Time Data Systems by Nathan Marz and James Warren. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

SEPTEMBER 11, 2023

On June 7, 1983, a product was born that would revolutionize how organizations would store, manage, process , and query their data: IBM Db2. Codd published his famous paper “ A Relational Model of Data for Large Shared Data Banks.” In 1969, retired IBM Fellow Edgar F. Chamberlin and Raymond F.

Machine Learning 91

Machine Learning Cost-Benefit IoT Data Warehouse 91

Smarten

JUNE 1, 2022

An integrated solution provides single sign-on access to data sources and data warehouses.’. The integrated augmented analytics approach includes simple tenant management to deploy with a shared data model for single-tenant mode or an isolated data model for multi-tenant mode and software as a service (SaaS) applications.

Data Warehouse 76

Data Warehouse Software Data Architecture Consulting 76

Sisense

MARCH 13, 2019

Data Access, Connection, Mashup. To get the best results from analytics and to formulate the most on-point business intelligence, it’s essential that you have access to as many data sources and databases as possible, both now and in the future. Is the platform dependent on IT resources to support large, complex data?

Analytics 69

Analytics Business Intelligence ROI Cost-Benefit 69

Domino Data Lab

FEBRUARY 4, 2019

In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting. Lately there’s been lots of dialog about bias in machine learning models, though considering the noise part of the equation is an important corollary. Problems with training ML models efficiently.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

AWS Big Data

MARCH 3, 2023

It has been well published since the State of DevOps 2019 DORA Metrics were published that with DevOps, companies can deploy software 208 times more often and 106 times faster, recover from incidents 2,604 times faster, and release 7 times fewer defects. Ricardo Serafim is a Senior AWS Data Lab Solutions Architect.

Software 52

Software Data Lake Testing Cost-Benefit 52

Cloudera

OCTOBER 26, 2017

Published originally on O’Reilly.com. Become more agile with business intelligence and data analytics. Many of us are all too familiar with the traditional way enterprises operate when it comes to on-premises data warehousing and data marts: the enterprise data warehouse (EDW) is often the center of the universe.

Cost-Benefit 42

Cost-Benefit Business Intelligence Data Warehouse Data Lake 42

O'Reilly on Data

SEPTEMBER 11, 2019

2 in frequency in proposal topics; a related term, “models,” is No. Terms that relate to data engineering, data management, and data analytics dominate the top tiers of proposal topics. An ML-related topic, “models,” was No. For example, even though ML and ML-related concepts —a related term, “ML models,” (No.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

AWS Big Data

NOVEMBER 29, 2023

dbt is an open source, SQL-first templating engine that allows you to write repeatable and extensible data transforms in Python and SQL. dbt is predominantly used by data warehouses (such as Amazon Redshift ) customers who are looking to keep their data transform logic separate from storage and engine.

Data Lake 102

Data Lake Management Metrics Data Warehouse 102

Occam's Razor

JANUARY 30, 2012

If you are an Analysis Ninja, focus on the mental model and approach used in each recommendation. Having grown up in the traditional business intelligence and direct marketing world, I'm also a huge fan of RFM analysis. Here is a great example of the type of business-critical question you can answer with these reports.

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

Jet Global

MAY 8, 2024

According to a recent Dresner Advisory Services’ Wisdom of Crowds® Business Intelligence Market Study, Logi Symphony has been recognized as a leader in the field. The Vendor Credibility Model measures value for money against user confidence. The most popular BI initiatives were data security, data quality, and reporting.

Business Intelligence 52

Business Intelligence Reporting Measurement Software 52