Paul Blogs on BI

NOVEMBER 13, 2023

If the data is not correct then its garbage in and garbage out, or as I have always said : BIG DATA + BAD DATA = BIG BAD DATA However, when it comes to a good data strategy, it’s not just about the quality of the data, it’s also about the design and functionality of the structure where it is housed.

Data Strategy 52

Data Strategy Strategy Gap analysis Data Warehouse 52

IBM Big Data Hub

JUNE 2, 2023

improved document management capabilities, web portals, mobile applications, data warehouses, enhanced location services, etc.) IBM Consulting’s pioneering Accelerated Incremental Mainframe Modernization (AIMM) approach focuses on legacy modernization with a lens of incremental transformation, rather than just translation.

Consulting 84

Consulting Cost-Benefit Technology ROI 84

AWS Big Data

FEBRUARY 1, 2024

This stack creates the following resources and necessary permissions to integrate the services: Data stream – With Amazon Kinesis Data Streams , you can send data from your streaming source to a data stream to ingest the data into a Redshift data warehouse. version cluster. version cluster.

Data Warehouse 120

Data Warehouse Dashboards Risk Management Risk 120

AWS Big Data

DECEMBER 5, 2023

HR&A Advisors —a multi-disciplinary consultancy with extensive work in the broadband and digital equity space is helping its state, county, and municipal clients deliver affordable internet access by analyzing locally specific digital inclusion needs and building tailored digital equity plans.

Measurement 80

Measurement Dashboards Data Warehouse Analytics 80

CIO Business Intelligence

JULY 18, 2022

Central to Byrdak’s multi-year transformation plan is the expansion of MealConnect, the first nationally available food rescue and sourcing platform, and a new data warehouse to anchor an analytics offering that helps food banks analyze and visualize their food sourcing and distribution data.

Data Warehouse 133

Data Warehouse Dashboards Reporting Manufacturing 133

Cloudera

AUGUST 31, 2021

Cloudera and Accenture demonstrate strength in their relationship with an accelerator called the Smart Data Transition Toolkit for migration of legacy data warehouses into Cloudera Data Platform. Accenture’s Smart Data Transition Toolkit . Are you looking for your data warehouse to support the hybrid multi-cloud?

Data Warehouse 82

Data Warehouse Cost-Benefit Metadata Data-driven 82

Cloudera

MAY 10, 2021

The introduction of CDP Public Cloud has dramatically reduced the time in which you can be up and running with Cloudera’s latest technologies, be it with containerised Data Warehouse , Machine Learning , Operational Database or Data Engineering experiences or the multi-purpose VM-based Data Hub style of deployment.

Data Warehouse 104

Data Warehouse Consulting Machine Learning Risk 104

AWS Big Data

APRIL 3, 2023

Tens of thousands of customers run business-critical workloads on Amazon Redshift , AWS’s fast, petabyte-scale cloud data warehouse delivering the best price-performance. With Amazon Redshift, you can query data across your data warehouse, operational data stores, and data lake using standard SQL.

Data Warehouse 96

Data Warehouse Testing Data Lake Data-driven 96

CIO Business Intelligence

NOVEMBER 22, 2022

Real-time data gets real — as does the complexity of dealing with it CIOs should prioritize their investment strategy to cope with the growing volume of complex, real-time data that’s pouring into the enterprise, advises Lan Guan, global data and AI lead at business consulting firm Accenture.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

AWS Big Data

APRIL 4, 2024

For more information about data quality use cases, refer to Getting started with AWS Glue Data Quality from the AWS Glue Data Catalog and AWS Glue Data Quality. Akhil is a Lead Consultant at AWS Professional Services. Ramesh Raghupathy is a Senior Data Architect with WWCO ProServe at AWS.

Data Quality 61

Data Quality Data Lake Data Warehouse Data-driven 61

CIO Business Intelligence

JUNE 23, 2023

There are also no-code data engineering and AI/ML platforms so regular business users, as well as data engineers, scientists and DevOps staff, can rapidly develop, deploy, and derive business value. Even physical assets can be monetized this way.

Data Strategy 111

Data Strategy Strategy Visualization Consulting 111

CDW Research Hub

APRIL 20, 2020

Many organizations move from a traditional data warehouse to a hybrid or cloud-based data warehouse to help alleviate their struggles with rapidly expanding data, new users and use cases, and a growing number of diverse tools and applications. Watch this video for a quick overview of the process.

Data Warehouse 52

Data Warehouse Consulting Data-driven Structured Data 52

CIO Business Intelligence

JULY 24, 2022

Rouch joins from IT services and consulting firm Class where she’d been CTO since March 2020. Paul Keen departs from Nuix, Alexis Rouch takes CIO role. Alexis Rouch will join software vendor Nuix as CIO in August replacing Paul Keen who is leaving the company. Rouch brings more than 20 years of experience in both private and public sectors.

IT 93

IT Data Lake Digital Transformation Data Warehouse 93

DataKitchen

NOVEMBER 4, 2021

They lack a place to centralize the processes that act upon the data to rapidly answer questions and quickly deploy sustainable, high-quality production insight. Automation provides a way to accomplish this without hiring expensive teams of consultants. When the tests pass, the orchestration admits the data to a data catalog.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

erwin

SEPTEMBER 26, 2019

So Seriously … You Should Automate Your Data Vault. Data Vault is a methodology for architecting and managing data warehouses in complex data environments where new data types and structures are constantly introduced. The post Benefits of Data Vault Automation appeared first on erwin, Inc.

Data Warehouse 108

Data Warehouse Cost-Benefit Data Integration Modeling 108

CDW Research Hub

JULY 27, 2021

Data volumes are growing exponentially, and traditional, on-premises data warehouses are constrained, overly complex, and costly to scale. In this way, the Cloud Data Warehouse Accelerator enables a seamless transition to Snowflake. Reduce the total cost of ownership of the data infrastructure.

Data Warehouse 52

Data Warehouse Data Lake Data Architecture Consulting 52

Jet Global

SEPTEMBER 4, 2020

Consultants and developers familiar with the AX data model could query the database using any number of different tools, including a myriad of different report writers. For more sophisticated multidimensional reporting functions, however, a more advanced approach to staging data is required. The Data Warehouse Approach.

Data Lake 88

Data Lake OLAP Data Warehouse Unstructured Data 88

Cloudera

JULY 21, 2022

Cloudera users can securely connect Rill to a source of event stream data, such as Cloudera DataFlow , model data into Rill’s cloud-based Druid service, and share live operational dashboards within minutes via Rill’s interactive metrics dashboard or any connected BI solution. Cloudera Data Warehouse). Apache Hive.

Metrics 86

Metrics Slice and Dice Data Warehouse Dashboards 86

IBM Big Data Hub

NOVEMBER 6, 2023

Watsonx.data allows enterprises to centrally gather, categorize and filter data from multiple sources. Through workload optimization, watsonx.data can reduce the cost of an enterprise’s data warehouse by up to 50%.

Cost-Benefit 107

Cost-Benefit Enterprise ROI Data Warehouse 107

CIO Business Intelligence

FEBRUARY 15, 2024

But we also have our own internal data that objectively measures needs and results, and helps us communicate with top management.” In fact, CNR has had a data warehouse for 15 years, which gathers information from internal management systems to perform analyses and guide strategies.

Strategy 115

Strategy Digital Transformation Cost-Benefit Forecasting 115

CIO Business Intelligence

NOVEMBER 28, 2023

The knock-on impact of this lack of analyst coverage is a paucity of data about monies being spent on data management. In reality MDM ( master data management ) means Major Data Mess at most large firms, the end result of 20-plus years of throwing data into data warehouses and data lakes without a comprehensive data strategy.

Management 115

Management Data Architecture Data Lake Data Strategy 115

IBM Big Data Hub

SEPTEMBER 11, 2023

This partnership gives clients the flexibility to choose the right mix of technologies for their needs, and IBM Consulting can help them scale those solutions enterprise-wide. Watsonx.data on AWS: Imagine having the power of data at your fingertips.

Data-driven 110

Data-driven Insurance Digital Transformation Data Warehouse 110

Smart Data Collective

APRIL 29, 2020

Solutions for the various data management processes need to be carefully considered. Extensive planning and taking discussions on the best possible strategies with the different teams and external consultation should be a priority. Data transformation. Data analytics and visualisation.

Management 83

Management Data Warehouse Digital Transformation Dashboards 83

Sisense

APRIL 17, 2020

“I recommend starting your data strategy with a right-to-left approach, focusing on the desired business outcomes first, instead of the data, to support those outcomes,” says Charles Holive, Sisense Managing Director of Data Monetization and Strategy Consulting. Define your desired outcome — before you start building.

Data Strategy 81

Data Strategy Strategy Digital Transformation Data Warehouse 81

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining 135

Data mining Data-driven Statistics OLAP 135

AWS Big Data

OCTOBER 20, 2023

Shengjie Luo is a Big Data Architect on the Amazon Cloud Technology professional service team. They are responsible for solutions consulting, architecture, and delivery of AWS-based data warehouses and data lakes. Learn more in README.

Data Lake 81

Data Lake Big Data Consulting Data Warehouse 81

datapine

SEPTEMBER 27, 2022

The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross. It is a must-read for understanding data warehouse design. The book covers Oracle, Microsoft SQL Server, IBM DB2, MySQL, PostgreSQL, and Microsoft Access.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

CIO Business Intelligence

MARCH 2, 2023

Critical to the success of the migration was AWS premier consulting partner Lemongrass, which enabled Pick n Pay to migrate its mission-critical SAP (including SAP S/4HANA) and non-SAP workloads to AWS, and provide the ability to manage these workloads with the highest levels of automation and agility. That’s worked well for us.

Cost-Benefit 89

Cost-Benefit Consulting Data Warehouse Management 89

CIO Business Intelligence

FEBRUARY 24, 2023

Getting there has been easier said than done for Lufthansa, which was among the first airlines to build a data warehouse for its customer data, but much of that technology is now decades old. “We Self-service is now much more important.” It looks completely different compared to what you had to do in the past.

IT 142

IT Digital Transformation Data Warehouse Consulting 142

datapine

MARCH 31, 2022

Getting an entry-level position at a consulting firm is also a great idea – the big ones include IBM, Accenture, Deloitte, KPMG, and Ernst and Young. Another excellent approach is to gain experience directly in the office of a BI provider, working as a data scientist or a data visualization intern , for instance. BI consultant.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Sales 270

CIO Business Intelligence

DECEMBER 13, 2023

We see ourselves as an internal consulting organization and service provider, and we also act as a sounding board for our companies,” says Steen. An example of that is a data warehouse in Azure we brought in and offer as a service. We’ve inherited some of it after reorganizations that we develop and manage.

IT 88

IT Unstructured Data Cost-Benefit Data Warehouse 88

erwin

MARCH 8, 2019

GDPR) and to ensure peak business performance, organizations often bring consultants on board to help take stock of their data assets. This sort of data governance “stock check” is important but can be arduous without the right approach and technology. That’s where data governance comes in ….

Data Governance 65

Data Governance Metadata Data Warehouse Data Quality 65

Jet Global

OCTOBER 7, 2020

Confusing matters further, Microsoft has also created something called the Data Entity Store, which serves a different purpose and functions independently of data entities. The Data Entity Store is an internal data warehouse that is only available to embedded Power BI reports (not the full version of Power BI).

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

CIO Business Intelligence

OCTOBER 13, 2022

Along with the proper technologies and tools, the right consulting partners can help accelerate transformation, specifically if they can together demonstrate deep and diverse expertise, modernization patterns, and industry-specific blueprints.

Insurance 102

Insurance Data Warehouse Manufacturing Forecasting 102

Andrew White

DECEMBER 9, 2019

The client had recently engaged with a well-known consulting company that had recommended a large data catalog effort to collect all enterprise metadata to help identify all data and business issues. Modern data (and analytics) governance does not necessarily need: Wall-to-wall discovery of your data and metadata.

Analytics 66

Analytics Data Lake Data Governance Metadata 66

DataKitchen

AUGUST 27, 2021

New data is shared with users by updating reporting schema several times a day. The architecture takes purpose-built data warehouses /marts and other forms of aggregation and star views tailored to analyst requirements. Figure 4: DataOps architecture based on the DataKitchen Platform.

Analytics 246

Analytics Sales Testing Cost-Benefit 246