bridgei2i

MARCH 11, 2021

Creating an efficient data governance strategy means – Breaking down all sources of accumulated data across the organization. Recognizing the “right” data that can be optimized by AI-powered business analytics tools. Identify data errors and eliminate them from the system. in the system.

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Sisense

NOVEMBER 12, 2020

Cloud data warehouses took the benefits of the cloud and applied them to data warehouses — bringing massive parallel processing to data teams of all sizes. Scaling the warehouse as business analytics needs grow is as simple as clicking a few buttons (and in some cases, it is even automatic).

Data Warehouse 52

Data Warehouse Data Lake OLAP Data-driven 52

Cloudera

JANUARY 13, 2021

Putting data at the heart of the organisation. To drive the vision of becoming a data-enabled organisation, UOB developed the EDAG (Enterprise Data Architecture and Governance) platform. The platform is built on a data lake that centralises data in UOB business units across the organisation.

Digital Transformation 56

Digital Transformation Data-driven Data Lake Big Data 56

Cloudera

DECEMBER 21, 2020

Company data exists in the data lake. Data Catalog profilers have been run on existing databases in the Data Lake. A Cloudera Data Warehouse virtual warehouse with Cloudera Data Visualisation enabled exists. The SDX layer is configured and the users have appropriate access.

Dashboards 97

Dashboards Visualization Data Warehouse Data Lake 97

FineReport

MARCH 24, 2024

Python: Known for its text data handling capabilities and compatibility with various platforms and databases. Excel: Widely used for preliminary data analysis and modeling, featuring advanced business analytics options. During data analysis, professionals utilize an array of tools for accuracy and efficiency.

Statistics 52

Statistics Data mining Visualization Reporting 52

AWS Big Data

FEBRUARY 16, 2023

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

Data Warehouse 76

Data Warehouse Sales Visualization Data Processing 76

Cloudera

MAY 12, 2021

Enterprise Data Cloud: West Midlands Police — WMP public cloud data platform allows fast data insights and positive community interventions . Data Security & Governance: Merck KGaA, Darmstadt, Germany — Established a data governance framework with their data lake to discover, analyze, store, mine, and govern relevant data.

Digital Transformation 66

Digital Transformation Machine Learning Optimization Data Lake 66

AWS Big Data

NOVEMBER 29, 2023

Zero-ETL integration also enables you to load and analyze data from multiple operational database clusters in a new or existing Amazon Redshift instance to derive holistic insights across many applications. Use one click to access your data lake tables using auto-mounted AWS Glue data catalogs on Amazon Redshift for a simplified experience.

Data Warehouse 97

Data Warehouse Data Lake Analytics Machine Learning 97

Sisense

APRIL 26, 2020

Cloud data warehouses: The new era of data storage. Cloud data warehouses aggregate data from different sources into a central, consistent data store to support various business, analytics, visualization, AI, and ML purposes.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

MARCH 9, 2022

However, they do contain effective data management, organization, and integrity capabilities. As a result, users can easily find what they need, and organizations avoid the operational and cost burdens of storing unneeded or duplicate data copies. Warehouse, data lake convergence. Meet the data lakehouse.

Data Lake 119

Data Lake Unstructured Data Data Warehouse Data Quality 119

DataKitchen

JANUARY 17, 2022

A large pharmaceutical Business Analytics (BA) team struggled to provide timely analytical insight to its business customers. However, the BA team spent most of its time overcoming error-prone data and managing fragile and unreliable analytics pipelines. . The Challenge. Figure 1: A DataOps Process Hub.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

Peter James Thomas

AUGUST 29, 2018

I have since run and driven transformation in Reference Data, Master Data , KYC [3] , Customer Data, Data Warehousing and more recently Data Lakes and Analytics , constantly building experience and capability in the Data Governance , Quality and data services domains, both inside banks, as a consultant and as a vendor.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

CIO Business Intelligence

FEBRUARY 28, 2024

Or, you may have begun migrating to the cloud but now need edge computing and IoT to streamline your operations, or you may want to use AI to supercharge your business analytics. You may not have started your digital transformation at all and feel unsure where to start. There certainly isn’t a one-size-fits-all solution.

Digital Transformation 52

Digital Transformation IoT Cost-Benefit Data Lake 52

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 billion in 2020?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

datapine

APRIL 15, 2020

Through agile adoption, organizations are seeing a quicker return on their BI investments and are able to quickly adapt to changing business needs. To fully utilize agile business analytics, we will go through a basic agile framework in regards to BI implementation and management. Ensure the quality of production.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

Data Virtualization

MARCH 21, 2019

According to Gartner, 60% of all the big data projects fail and according to Capgemini 70% of the big data projects are not profitable. There can only be one conclusion, big data projects are hard! There is not one specific.

Big Data 60

Big Data Management Data Lake Metadata 60

Cloudera

NOVEMBER 18, 2020

Merck KGaA, Darmstadt, Germany, is a leading science and technology company, operating across healthcare, life science, and performance materials business areas. The Advanced Analytics team supporting the businesses of Merck KGaA, Darmstadt, Germany was able to establish a data governance framework within its enterprise data lake.

Internet Publishing and Broadcasting 118

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 118

FineReport

APRIL 11, 2023

Additionally, they provide tabs, pull-down menus, and other navigation features to assist in accessing data. Data Visualizations : Dashboards are configured with a variety of data visualizations such as line and bar charts, bubble charts, heat maps, and scatter plots to show different performance metrics and statistics.

Dashboards 40

Dashboards Business Intelligence Cost-Benefit Metrics 40

Jet Global

OCTOBER 22, 2020

The world of business analytics is evolving rapidly. The size and scope of business databases have grown as ERP functionality has evolved, businesses have increased their adoption of CRM and marketing automation, and collaboration networks have become more common.

Modeling 52

Modeling OLAP Reporting Sales 52

Peter James Thomas

MAY 3, 2019

When I first started focussing on the data arena, Data Warehouses were state of the art. More recently Big Data architectures, including things like Data Lakes , have appeared and – at least in some cases – begun to add significant value. Best practice has evolved in this area.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

Peter James Thomas

AUGUST 12, 2018

In our modern architectures, replete with web-services, APIs, cloud-based components and the quasi-instantaneous transmission of new transactions, it is perhaps not surprising that occasionally some data gets lost in translation [5] along the way. Especially for all Business Analytics professionals out there (2009). [7].

Metrics 49

Metrics Statistics Data Quality Measurement 49

datapine

AUGUST 29, 2022

The new edition also explores artificial intelligence in more detail, covering topics such as Data Lakes and Data Sharing practices. 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

AUGUST 4, 2023

By leveraging data services and APIs, a data fabric can also pull together data from legacy systems, data lakes, data warehouses and SQL databases, providing a holistic view into business performance. Then, it applies these insights to automate and orchestrate the data lifecycle.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Peter James Thomas

APRIL 9, 2019

This article offers a framework for building momentum in the early stages of a Data Programme. Analytics & Big Data. A review of some of the problems that can beset Data Lakes, together with some ideas about what to do to fix these from Dan Woods (Forbes), Paul Barth (Podium Data) and Dave Wells (Eckerson Group).

Data-driven 49

Data-driven Statistics Big Data Data Science 49

Andrew White

MARCH 22, 2019

This ties into the failure of data governance and MDM (see first item in this list). A data hub strategy should be economical, not perfected; and a data hub does not collect data like a data warehouses or data lake does – they are very different things. Age maybe against us.

Analytics 68

Analytics Metadata Data Governance Management 68

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

JUNE 13, 2022

When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy. Those options include: Data lake or Azure Data Lake Services (ADLS) is Microsoft’s new data solution, which provides unstructured date analytics through AI. Interested in Power BI.

Reporting 52

Reporting Data Lake Sales Operational Reporting 52

Jet Global

SEPTEMBER 19, 2023

What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP?

Cost-Benefit 52

Cost-Benefit Data Warehouse Reporting Enterprise 52

Jet Global

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? How can we respond in real time to the company’s analytic needs? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? Self-service BI.

Reporting 52

Reporting Data Warehouse Operational Reporting Enterprise 52