AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. This will be your OLTP data store for transactional data. version cluster. version cluster.

Data Warehouse 125

Data Warehouse Dashboards Risk Management Risk 125

Sisense

SEPTEMBER 3, 2019

This blog is intended to give an overview of the considerations you’ll want to make as you build your Redshift data warehouse to ensure you are getting the optimal performance. This results in less joins between the metric data in fact tables, and the dimensions. So let’s dive in! OLTP vs OLAP.

Data Warehouse 78

Data Warehouse OLAP Statistics Cost-Benefit 78

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. This data needs to be seamlessly joined in the analytics he wants to provide to the researchers he will support. The Vision of a Discovery Data Warehouse.

Data Warehouse 58

Data Warehouse Unstructured Data Analytics Visualization 58

CIO Business Intelligence

SEPTEMBER 26, 2023

But because electricity consumption was easy to gauge, there was no urgency for measuring current and low voltage power flows. But the measuring solution was complex and required frequent manual adaptions as solar PV systems increased. Without real-time power measurements, estimated power values were being used.

Machine Learning 101

Machine Learning Forecasting Measurement Data Warehouse 101

Jet Global

JUNE 17, 2021

While the company was reasonably confident that it was reporting the right numbers, it felt that it “didn’t know what it didn’t know” because it couldn’t look into the detail, or make comparisons with historic data, which were all held in static spreadsheets. User Acceptance.

Risk 98

Risk Recreation/Entertainment Forecasting Manufacturing 98

Alation

SEPTEMBER 7, 2021

In this blog we will discuss how Alation helps minimize risk with active data governance. Now that you have empowered data scientists and analysts to access the Snowflake Data Cloud and speed their modeling and analysis, you need to bolster the effectiveness of your governance models. Two problems arise.

Data Governance 59

Data Governance Risk Data Quality Dashboards 59

AWS Big Data

DECEMBER 8, 2023

More and more of FanDuel’s community of analysts and business users looked for comprehensive data solutions that centralized the data across the various arms of their business. Their individual, product-specific, and often on-premises data warehouses soon became obsolete.

Data Warehouse 69

Data Warehouse Cost-Benefit KPI Risk 69

Laminar Security

AUGUST 31, 2023

New cloud file share integrations mark a pivotal moment for holistic data security posture management in the cloud In today’s digital era, cloud file-sharing platforms have become the backbone of modern businesses, enabling swift, seamless, and efficient data collaboration.

Risk 88

Risk Data Warehouse Measurement Management 88

BizAcuity

NOVEMBER 22, 2022

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 98

Data Warehouse Cost-Benefit Data Lake Internet of Things 98

Cloudera

NOVEMBER 12, 2020

Cloud has given us hope, with public clouds at our disposal we now have virtually infinite resources, but they come at a different cost – using the cloud means we may be creating yet another series of silos, which also creates unmeasurable new risks in security and traceability of our data. Key areas of concern are: .

Data Warehouse 103

Data Warehouse Reporting Risk Cost-Benefit 103

Laminar Security

AUGUST 31, 2023

New cloud file share integrations mark a pivotal moment for holistic data security posture management in the cloud In today’s digital era, cloud file-sharing platforms have become the backbone of modern businesses, enabling swift, seamless, and efficient data collaboration.

Risk 65

Risk Data Warehouse Measurement Management 65

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data. Define a budget.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

OCTOBER 19, 2023

What-if parameters also create calculated measures you can reference elsewhere. Smart Narratives pull out key takeaways and trends in your data and wrap them with autogenerated text to build data stories. Integrate with Office If your users prefer to slice and dice with Pivot tables, Power BI data can also be used in Excel.

Slice and Dice 123

Slice and Dice Scorecard Metrics Visualization 123

DataKitchen

SEPTEMBER 21, 2023

Data in Place refers to the organized structuring and storage of data within a specific storage medium, be it a database, bucket store, files, or other storage platforms. In the contemporary data landscape, data teams commonly utilize data warehouses or lakes to arrange their data into L1, L2, and L3 layers.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

IBM Big Data Hub

OCTOBER 30, 2023

By combining IBM’s advanced data and AI capabilities powered by Watsonx platform with AWS’s unparalleled cloud services, the partnership aims to create an ecosystem where businesses can seamlessly integrate AI into their operations.

Insurance 81

Insurance Data Warehouse Data-driven Unstructured Data 81

Laminar Security

DECEMBER 13, 2023

Close to 70% of respondents in an ISC report indicated that they believe their organization lacks requisite cybersecurity staff to handle cloud data risk effectively. Learn in this article how Laminar harnesses AI for data discovery and classification and reduces public cloud data risks.

Data-driven 119

Data-driven Machine Learning Risk Deep Learning 119

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Laminar Security

OCTOBER 17, 2023

Data discovery and classification are used to achieve a comprehensive view of all data created and utilized by an organization, providing granular visibility into the data type and sensitivity, risk levels, security posture, and more. residency, owner, size, volume, and usage) The risk posture of your sensitive data.

IT 94

IT Risk Cost-Benefit Dashboards 94

erwin

JANUARY 10, 2024

Infonomics: Treating data as an actual asset It’s an axiom that data is valuable, but few companies ever make the effort to measure how valuable it is. They’re in a poor position to manage their data like an asset because they can’t manage what they don’t measure. What is data monetization?

Measurement 59

Measurement Cost-Benefit Data Governance Management 59

AWS Big Data

FEBRUARY 29, 2024

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. The user permissions are evaluated using AWS Lake Formation to filter the relevant data.

Data Governance 97

Data Governance Unstructured Data Metadata Data Lake 97

BizAcuity

APRIL 1, 2023

This typically requires a data warehouse for analytics needs that is able to ingest and handle real time data of huge volumes. Snowflake is a cloud-native platform that eliminates the need for separate data warehouses, data lakes, and data marts allowing secure data sharing across the organization.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Lake Internet of Things 52

erwin

JANUARY 11, 2019

Consider the problematic issue of manually mapping source system fields (typically source files or database tables) to target system fields (such as different tables in target data warehouses or data marts). And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

BI-Survey

FEBRUARY 17, 2020

From operational systems to support “smart processes”, to the data warehouse for enterprise management, to exploring new use cases through advanced analytics : all of these environments incorporate disparate systems, each containing data fragments optimized for their own specific task. . BARC conclusion.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

erwin

JUNE 26, 2020

Given the value this sort of data-driven insight can provide, the reason organizations need a data catalog should become clearer. It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., Sales are measured down to a zip code territory level across product categories.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Jet Global

APRIL 25, 2024

Organizations that maintain SOX compliance support confidence in financial markets by operating within a framework that mitigates the risk of corporate fraud and strengthens the integrity of financial reporting. The majority of your SOX compliance audit will be spent reviewing internal controls for the purposes of risk management assessment.

Reporting 52

Reporting Risk Management Risk Software 52

datapine

JANUARY 24, 2021

The questions to ask when analyzing data will be the framework, the lens, that allows you to focus on specific aspects of your business reality. Once you have your data analytics questions, you need to have some standard KPIs that you can use to measure them. As Data Dan reminded us, “did the best” is too vague to be useful.

IT 317

IT Statistics KPI Data-driven 317

Jet Global

MARCH 23, 2024

A government key performance indicator (KPI) is a quantifiable measure that the public sector uses to evaluate its performance. This tool will help you understand what performance measures to track, and which dashboards best suit your needs. The baseline is measured when the KPIs are first identified. What are Government KPIs?

Reporting 52

Reporting KPI Metrics Measurement 52

Smart Data Collective

JANUARY 22, 2020

What measures are essential to keep your sensitive data confidential? Risks Associated with Cloud Computing. When a cloud service vendor supplies your business and stores your corporate data, you place your business in the partner’s hands. Data Security. Solutions to Decrease Cloud Computing Risks.

Data Processing 57

Data Processing Measurement Risk Data Warehouse 57

Jet Global

DECEMBER 2, 2019

The risk of not clearly identifying and defining these: you’ll attempt to use the wrong tools for the job. Not only will this cost you mountains of wasted time, but you’re also in extreme danger of having the wrong data in front of you or giving it to someone else. A good example of this could be Cost of Goods Sold (COGs).

Business Intelligence 69

Business Intelligence Reporting OLAP Data Warehouse 69

Cloudera

MAY 13, 2021

Since my last blog, What you need to know to begin your journey to CDP , we received many requests for a tool from Cloudera to analyze the workloads and help upgrade or migrate to Cloudera Data Platform (CDP). WM saves time and reduces risks during upgrades or migrations. Data Engineering jobs (optional). Batched and scripted.

Management 71

Management Data Warehouse Interactive Reporting 71

Jet Global

JANUARY 15, 2021

You might measure those costs in different ways, including actual dollars and cents, staff time, added complexity, and risk. Most of those things are not about direct monetary costs; they are less tangible and measurable, but nonetheless very important. In other words, switching costs are not just about money.

Cost-Benefit 72

Cost-Benefit Data Lake Reporting OLAP 72

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

AWS Big Data

JULY 28, 2023

Organizations must comply with these requests provided that there are no legitimate grounds for retaining the personal data, such as legal obligations or contractual requirements. Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud.

Snapshot 86

Snapshot Metadata Measurement Data Warehouse 86

AWS Big Data

MARCH 26, 2024

Enrichment typically involves adding demographic, behavioral, and geolocation data. You can use third-party data products from AWS Marketplace delivered through AWS Data Exchange to gain insights on income, consumption patterns, credit risk scores, and many more dimensions to further refine the customer experience.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

CIO Business Intelligence

NOVEMBER 22, 2022

As a result, a growing number of IT leaders are looking for data strategies that will allow them to manage the massive amounts of disparate data located in silos without introducing new risk and compliance challenges.

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Jet Global

NOVEMBER 15, 2021

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. to non-traditional KPIs including reputational risk management, efficiency and effectiveness of processes, innovative use of technology, etc.

Metrics 52

Metrics Reporting KPI Risk Management 52

CIO Business Intelligence

APRIL 12, 2023

Most current data architectures were designed for batch processing with analytics and machine learning models running on data warehouses and data lakes. In this article, I’ll share insights on aligning vision and leadership, as well as reducing complexity to make data actionable for delivering real-time AI solutions.

Machine Learning 138

Machine Learning Cost-Benefit Data-driven Strategy 138