DataKitchen

AUGUST 8, 2023

Like an apartment blueprint, Data lineage provides a written document that is only marginally useful during a crisis. This is especially true regarding our one-to-many, producer-to-consumer relationships on our data architecture. Which report tab is wrong? Which production job filled that report? Did it fail?

Data Quality 130

Data Quality Testing Snapshot Reporting 130

CIO Business Intelligence

APRIL 24, 2024

We started with an evolution of the CRM to manage the citizen relationship, and the various requests and reports: those who come into contact with the AMA must be recognized on any channel and receive consistent answers in a multichannel perspective,” he says. From there, the actual digitization project can be implemented. “We

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. You can use the same capabilities to serve financial reporting, measure operational performance, or even monetize data assets. QuickSight offers scalable, serverless visualization capabilities.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

CIO Business Intelligence

AUGUST 9, 2022

Data engineers are often responsible for building algorithms for accessing raw data, but to do this, they need to understand a company’s or client’s objectives, as aligning data strategies with business goals is important, especially when large and complex datasets and databases are involved. Data engineer vs. data architect.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

AWS Big Data

APRIL 26, 2023

Use Case Overview Huron’s Business Intelligence use case represents visualizations as a service, where Huron has core set of visualizations and dashboards available as products for its customers. To maintain the integrity of embedded visualizations, all metadata and lineage must be available to the parent application.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Cloudera

OCTOBER 18, 2022

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business.

IT 87

IT Data Warehouse Dashboards Visualization 87

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 88

Data Lake Data Warehouse Data-driven B2B 88

CIO Business Intelligence

MARCH 24, 2023

SAS Data Management Built on the SAS platform, SAS Data Management provides a role-based GUI for managing processes and includes an integrated business glossary, SAS and third-party metadata management, and lineage visualization. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

JANUARY 9, 2020

While it’s always been the best way to understand complex data sources and automate design standards and integrity rules, the role of data modeling continues to expand as the fulcrum of collaboration between data generators, stewards and consumers. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

DataKitchen

JANUARY 3, 2022

For example, teams working under the VP/Directors of Data Analytics may be tasked with accessing data, building databases, integrating data, and producing reports. Data scientists derive insights from data while business analysts work closely with and tend to the data needs of business units.

Business Analytics 245

Business Analytics Analytics Testing Dashboards 245

AWS Big Data

APRIL 3, 2024

As data becomes increasingly crucial for driving business decisions, Amazon DataZone users are keenly interested in providing the highest standards of data quality. They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes.

Data Quality 88

Data Quality Visualization Metadata Metrics 88

AWS Big Data

APRIL 5, 2023

The company decided to use AWS to unify its business intelligence (BI) and reporting strategy for both internal organization-wide use cases and in-product embedded analytics targeted at its customers. In this post, we share how Showpad used QuickSight to streamline data and insights access across teams and customers.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

IBM Big Data Hub

SEPTEMBER 6, 2023

In a May 2023 survey carried out by IBM and Momentive.ai , 67% of CMOs reported that they plan on implementing generative AI in the next 12 months and 86% plan to do so within 24 months. The advanced capabilities of generative AI for text, visuals and video have the potential to create a more personalized and engaging experience.

Marketing 123

Marketing Strategy B2B Cost-Benefit 123

Octopai

APRIL 8, 2020

While there are many factors that led to this event, one critical dynamic was the inadequacy of the data architectures supporting banks and their risk management systems. These regulations required quarterly risk-evaluation reports. It required banks to maintain data architecture supporting risk aggregation at all times.

Finance 52

Finance Cost-Benefit Metadata Data Architecture 52

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

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams. Find out more about CDP for modern data architectures here.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

AUGUST 2, 2023

Estimated Carbon Footprint = Amount of money spent on truck transport * Emission Factor [1] Although these computations are very easy to make from general ledgers or other financial records, they are most valuable for initial estimates or for reporting minor sources of greenhouse gases. usage_therms", "gasutilization"."usage_scf"

Data Lake 69

Data Lake Measurement Visualization Data Architecture 69

Jedox

OCTOBER 22, 2020

In working with clients, these are some of the most common “pain points” I routinely address: Difficulty in extracting data out of legacy systems. Limited real-time analytics and visuals. Limited self-service reporting across the enterprise. Inability to get data quickly. Data accuracy concerns.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

AWS Big Data

JANUARY 12, 2024

After the data is collected and ingested into Kinesis Data Streams and delivered to the S3 bucket using Kinesis Data Firehose, the processing layer of the architecture takes over. We use the AWS Glue PII transform to automate detection and masking of sensitive data in our pipeline.

Data Lake 93

Data Lake Cost-Benefit Visualization Structured Data 93

Cloudera

JANUARY 30, 2024

Here are some of the key use cases: Predictive maintenance: With time series data (sensor data) coming from the equipment, historical maintenance logs, and other contextual data, you can predict how the equipment will behave and when the equipment or a component will fail. That is a very low number.

Manufacturing 79

Manufacturing Contextual Data IoT Digital Transformation 79

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

Sisense

SEPTEMBER 3, 2020

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. Data Analyst. Programming and statistics are two fundamental technical skills for data analysts, as well as data wrangling and data visualization.

Statistics 97

Statistics Metrics Visualization Finance 97

erwin

FEBRUARY 28, 2024

While the essence of success in data governance is people and not technology, having the right tools at your fingertips is crucial. Technology is an enabler, and for data governance this is essentially having an excellent metadata management tool. Next to data governance, data architecture is really embedded in our DNA.

Metadata 52

Metadata Data Governance Data Quality Technology 52

AWS Big Data

OCTOBER 18, 2023

With Amazon Redshift, you can build lake house architectures and perform any kind of analytics, such as interactive analytics , operational analytics , big data processing , visual data preparation , predictive analytics, machine learning , and more. Analyze the assessment report and address the action items.

Analytics 95

Analytics Data Warehouse Testing Dashboards 95

CIO Business Intelligence

NOVEMBER 22, 2022

Home Depot , for example, is upgrading its wi-fi systems to make it easier for customers to design, visualize, and buy materials for their projects. To compete in the future, retailers will have to create architectures that rethink the entire flow of data through their systems. It’s not just improving interfaces.

Digital Transformation 143

Digital Transformation Sales Machine Learning Optimization 143

Data Science 101

JUNE 10, 2019

They can clean large amounts of data, explore data sets to find trends, build predictive models, and create a story around their findings. Data Analysts. Data analysts sift through data and provide helpful reports and visualizations. Data Engineers. The Data Science Process.

Data Science 96

Data Science Statistics Predictive Modeling Machine Learning 96

Alation

AUGUST 18, 2022

But what data things are interconnected? Most of the time we think about data fields & files, columns & tables, reports & dashboards. His work produced control-flow graphs with nodes and edges as a visual representation of complexity. This approach ensures lineage is easy to visualize.

Metadata 69

Metadata Visualization Statistics Data Architecture 69

Birst BI

OCTOBER 24, 2019

Data-as-a-Service (DaaS) streamlines the chaos of ungoverned data pipelines and reporting silos created by users who are eager to use data, whether they are simple data inquiries from business analysts to more complex data questions from data science teams. How does DaaS fit into this architecture?

Data Warehouse 51

Data Warehouse Recreation/Entertainment Data Lake Data Architecture 51

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 111

Data Warehouse Cost-Benefit Sales Data-driven 111

DataKitchen

JANUARY 23, 2023

For example, a data error may only be apparent when combined with other data or used in a specific analysis or report. Additionally, data lineage may not capture the impact of data errors on downstream systems or processes. Which report tab is wrong? Which production job filled that report?

Testing 130

Testing Data Governance Data Quality Data-driven 130

AWS Big Data

NOVEMBER 15, 2023

They can use their own toolsets or rely on provided blueprints to ingest the data from source systems. Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization. The difference lies in when and where data transformation takes place.

Dashboards 94

Dashboards Analytics Metadata Data Warehouse 94

Peter James Thomas

APRIL 3, 2020

A skilled practitioner, hard at work developing elements of a Structured Reporting Framework. © However, I want to focus on a further pillar in the edifice of easily accessible and comprehensible Insight and Information , a Structured Reporting Framework. In my experience, Structured Reporting Frameworks are much misunderstood.

Dashboards 61

Dashboards Reporting Sales Data Lake 61

AWS Big Data

NOVEMBER 29, 2023

Amazon Q Generative SQL capability Query Editor, an out-of-the-box web-based SQL experience in Amazon Redshift is a popular tool for data exploration, visual analysis, and data collaboration. Here’s a couple of highlights from this week and for the full list, see below.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

Birst BI

FEBRUARY 25, 2020

Customers such as Crossmark , DJO Global and others use Birst with Snowflake to deliver the ultimate modern data architecture. Data never leaves Snowflake with Birst’s ability to support the reporting and self-service needs of both centralized IT and decentralized LOB teams.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Architecture Enterprise 52

Ms SQL Girl

JUNE 10, 2015

Chapter 1 Which Analysis and Reporting Tools Do You Need? Chapter 2 Designing an Eff ective Business Intelligence Architecture. Chapter 3 Selecting the Data Architecture that Fits Your Organization. Chapter 4 Searching and Combining Data with Power Query. Chapter 9 Discovering Knowledge with Data Mining.

Data mining 40

Data mining Business Intelligence Operational Reporting Visualization 40

Ms SQL Girl

JUNE 10, 2015

Chapter 1 Which Analysis and Reporting Tools Do You Need? Chapter 2 Designing an Eff ective Business Intelligence Architecture. Chapter 3 Selecting the Data Architecture that Fits Your Organization. Chapter 4 Searching and Combining Data with Power Query. Chapter 9 Discovering Knowledge with Data Mining.

Data mining 40

Data mining Business Intelligence Operational Reporting Visualization 40

Ontotext

JULY 26, 2019

Examples of such continuous improvement are technological giants like Google and Amazon who use semantic technology principles to build better data architectures for better user experiences. As we read in Gartner’s report, knowledge graphs are “ ideally suited to storing data extracted from the analysis of unstructured sources ”.

Technology 75

Technology Enterprise Data Integration Management 75