DataKitchen

OCTOBER 11, 2021

Figure 2: Example data pipeline with DataOps automation. In this project, I automated data extraction from SFTP, the public websites, and the email attachments. The automated orchestration published the data to an AWS S3 Data Lake. With tests, errors like these are caught before the data shows up in reports.

Testing 152

Testing Metadata Dashboards Statistics 152

AWS Big Data

DECEMBER 9, 2024

As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. Hes passionate about helping customers use Apache Iceberg for their data lakes on AWS.

Snapshot 64

Snapshot Data Warehouse Data Lake Data Quality 64

AWS Big Data

JULY 13, 2023

These are run autonomously with different sales teams, creating siloed operations and engagement with customers and making it difficult to have a holistic and unified sales motion. Goals – Grow revenue, increase the conversion ratio of opportunities, reduce the average sales cycle, improve the customer renewal rate.

Optimization 95

Optimization B2B Data Quality Sales 95

CIO Business Intelligence

DECEMBER 21, 2022

Having too much access across many departments, for example, can result in a kitchen full of inexperienced cooks running up costs and exposing the company to data security problems. And do you want your sales team making decisions based on whatever data it gets, and having the autonomy to mix and match to see what works best?

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

CIO Business Intelligence

FEBRUARY 16, 2023

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

AWS Big Data

MARCH 1, 2024

One of the bank’s key challenges related to strict cybersecurity requirements is to implement field level encryption for personally identifiable information (PII), Payment Card Industry (PCI), and data that is classified as high privacy risk (HPR). Only users with required permissions are allowed to access data in clear text.

Data Lake 113

Data Lake Data Warehouse Management Risk 113

Cloudera

JUNE 13, 2024

After countless open-source innovations ushered in the Big Data era, including the first commercial distribution of HDFS (Apache Hadoop Distributed File System), commonly referred to as Hadoop, the two companies joined forces, giving birth to an entire ecosystem of technology and tech companies.

Big Data 103

Big Data Machine Learning Contextual Data Data Lake 103

CIO Business Intelligence

JANUARY 30, 2024

Birgit Fridrich, who joined Allianz as sustainability manager responsible for ESG reporting in late 2022, spends many hours validating data in the company’s Microsoft Sustainability Manager tool. Data quality is key, but if we’re doing it manually there’s the potential for mistakes.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

CIO Business Intelligence

OCTOBER 2, 2024

Some enterprises, for example, might want 30% of their data to be from people between the ages of 18 and 25, and only 15% from those over the age of 65. Or they might want 20% of their training data from customer support and 25% from pre-sales. During the blending process, duplicate information can also be eliminated.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

CIO Business Intelligence

APRIL 24, 2024

In fact, AMA collects a huge amount of structured and unstructured data from bins, collection vehicles, facilities, and user reports, and until now, this data has remained disconnected, managed by disparate systems and interfaces, through Excel spreadsheets.

Digital Transformation 105

Digital Transformation Business Intelligence Unstructured Data Data Lake 105

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Delta tables technical metadata is stored in the Data Catalog, which is a native source for creating assets in the Amazon DataZone business catalog.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

AWS Big Data

MARCH 26, 2024

In 2022, AWS commissioned a study conducted by the American Productivity and Quality Center (APQC) to quantify the Business Value of Customer 360. reduction in sales cycle duration, 22.8% Think of the data collection pillar as a combination of ingestion, storage, and processing capabilities. Organizations using C360 achieved 43.9%

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

AWS Big Data

NOVEMBER 15, 2023

As the organization receives data from multiple external vendors, it often arrives in different formats, typically Excel or CSV files, with each vendor using their own unique data layout and structure. DataBrew is an excellent tool for data quality and preprocessing.

Metadata 97

Metadata Sales Data Lake Big Data 97

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 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

IBM Big Data Hub

DECEMBER 16, 2022

For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance. It uses metadata and data management tools to organize all data assets within your organization. She also wants to predict future sales of both shoes and jewelry.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

Ontotext

FEBRUARY 12, 2024

It proposes a technological, architectural, and organizational approach to solving data management problems by breaking up the monolithic data platform and de-centralizing data management across different domain teams and services. Once these domains interact and share data with each other, the mesh emerges.

IT 64

IT Metadata Data Quality Data Lake 64

AWS Big Data

FEBRUARY 1, 2023

Every day, Amazon devices process and analyze billions of transactions from global shipping, inventory, capacity, supply, sales, marketing, producers, and customer service teams. This data is used in procuring devices’ inventory to meet Amazon customers’ demands. Then we chose Amazon Athena as our query service.

Optimization 52

Optimization Forecasting Data Lake Metadata 52

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 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

JUNE 6, 2023

Through its Super App, SumUp provides merchants with a free business account and card, an online store, and an invoicing solution – as well as in-person and remote payments seamlessly integrated with SumUp’s card terminals and point-of-sale registers. Unless, of course, the rest of their data also resides in the Google Cloud.

Analytics 59

Analytics Data Lake Testing Optimization 59

CIO Business Intelligence

AUGUST 14, 2024

Start where your data is Using your own enterprise data is the major differentiator from open access gen AI chat tools, so it makes sense to start with the provider already hosting your enterprise data. Organizations with experience building enterprise data lakes connecting to many different data sources have AI advantages.

Enterprise 136

Enterprise Cost-Benefit Experimentation Modeling 136

Alation

JANUARY 27, 2022

In a governed data-driven environment, people can easily access data, trust it, and uncover meaningful insights. What is Data Analytics? Data analytics is a way to make sense of raw data. Raw data includes market research, sales data, customer transactions, and more. Establishes Trust in Data.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Peter James Thomas

AUGUST 12, 2018

However, often the biggest stumbling block is a human one, getting people to buy in to the idea that the care and attention they pay to data capture will pay dividends later in the process. These and other areas are covered in greater detail in an older article, Using BI to drive improvements in data quality.

Statistics 49

Statistics Metrics Data Quality Measurement 49

Alation

FEBRUARY 17, 2023

Discussing time-to-value, the ROI of good data use, sales growth, and cost reductions are a great set of examples to use and build confidence in your governance program. Some data seems more analytical, while other is operational (external facing). So what’s the outcome of data governance at the consumption level?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

Alation

AUGUST 11, 2022

Today, the brightest minds in our industry are targeting the massive proliferation of data volumes and the accompanying but hard-to-find value locked within all that data. Then we run into issues with data that’s shared and common. Let’s take data privacy as an example. But “customer” is an easy one.

Metadata 52

Metadata Data Warehouse Data Quality Data Lake 52

Ontotext

MARCH 8, 2023

Graphs boost knowledge discovery and efficient data-driven analytics to understand a company’s relationship with customers and personalize marketing, products, and services. As such, most large financial organizations have moved their data to a data lake or a data warehouse to understand and manage financial risk in one place.

Enterprise 52

Enterprise Knowledge Discovery Risk Machine Learning 52

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Descriptive analytics: Assessing historical trends, such as sales and revenue. Apple: Hires data analysts to enhance user experiences across its product lines and services.

Statistics 52

Statistics Data mining Visualization Reporting 52

Alation

NOVEMBER 28, 2022

It’s impossible for data teams to assure the data quality of such spreadsheets and govern them all effectively. If unaddressed, this chaos can lead to data quality, compliance, and security issues. In an enterprise, there may be thousands of spreadsheets used for critical business decisions.

Metadata 52

Metadata Enterprise Cost-Benefit Finance 52

AWS Big Data

APRIL 5, 2023

Showpad aligns sales and marketing teams around impactful content and powerful training, helping sellers engage with buyers and generate the insights needed to continuously improve conversion rates. In 2021, Showpad set forth the vision to use the power of data to unlock innovations and drive business decisions across its organization.

Dashboards 52

Dashboards Reporting Cost-Benefit Visualization 52

erwin

JANUARY 10, 2024

Your goal should be enterprise data management and an analytics function that pays for itself, like a self-funding data warehouse, data lake or data mesh. What is data monetization? Mind you, this is not just about selling data. With time, the effort should be self-funding.

Measurement 59

Measurement Cost-Benefit Data Governance Management 59

Andrew White

JANUARY 11, 2021

Does Data warehouse as a software tool will play role in future of Data & Analytics strategy? You cannot get away from a formalized delivery capability focused on regular, scheduled, structured and reasonably governed data. Data lakes don’t offer this nor should they. E.g. Data Lakes in Azure – as SaaS.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 16, 2025

We used to need structured data because our machine learning models expected field-level information. Today, we dont care if the data is structured because we can ingest it all, whether images, recordings, documents, PDF files, or large data lakes. What matters is the data is ingestible and has longevity.

ROI 52

ROI Measurement Testing Data Lake 52

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

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

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. 8) Data Smart: Using Data Science to Transform Information into Insight, by John W.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

FEBRUARY 18, 2025

Start with data as an AI foundation Data quality is the first and most critical investment priority for any viable enterprise AI strategy. Data trust is simply not possible without data quality. A decision made with AI based on bad data is still the same bad decision without it.

Machine Learning 90

Machine Learning Data Quality Enterprise Sales 90