Astera

JUNE 12, 2024

Data Governance Data lineage, data provenance , and data governance are all crucial concepts in data management, but they address different aspects of handling data. Data Provenance captures metadata describing the origin and history of data, including inputs, entities, systems, and processes involved.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

BizAcuity

JANUARY 18, 2023

Widely used to discover trends, patterns, check assumptions and spot anomalies or outliers, EDA involves a variety of techniques including statistical analysis, and machine learning to gain a better understanding of data. OCR is widely used to digitize all kinds of physical documentation. Predictive Analytics.

Predictive Analytics 130

Predictive Analytics Monitoring Banking Documentation 130

The BAWorld

NOVEMBER 5, 2023

What could be the reasons: A) Selection of incorrect elicitation techniques B) Lack of reviews C) Lack of existing documentation A and C All the three B and C A and B In the Requirement Elicitation phase, just before interacting with a highly influential Stakeholder, the Business Analyst has a dilemma on the place of interview.

Banking 52

Banking Documentation Business Analysis Business Analysis 52

Domo

JANUARY 30, 2024

It can be used to upload larger Domo data sets (over 10 million rows) to Tableau workbooks. Domo ODBC Data Driver fetches data from Domo over HTTPS. The query execution time depends on the size of the data and the data speed of your network. Find more documentation here about installation.

Visualization 52

Visualization Documentation Data Governance Data Visualization 52

Astera

FEBRUARY 14, 2024

Data vault is an emerging technology that enables transparent, agile, and flexible data architectures, making data-driven organizations always ready for evolving business needs. What is a Data Vault?  A data vault is a data modeling technique that enables you to build data warehouses for enterprise-scale analytics.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Astera

OCTOBER 7, 2022

Unstructured data is qualitative and more categorical in nature. It does not contain a predetermined data model or schema but has an internal structure. Using modern AI-powered data extraction tools, it can be converted to an easily manageable format for analytics. are available in an unstructured format. Conclusion.

Data Analytics 52

Data Analytics Data Analytics Documentation Customer Experience 52

Watermark Learning

JUNE 15, 2021

A post from the Watermark Learning Project Brief Blog. On this page: What is a Model? Benefits of Modeling Types of Models The Iterative Nature of Elicitation and Modeling Modeling and the Project Professional. Modeling is one of the most important practices for any project professional. Data models.

Process Modelling 52

Process Modelling Project Management Data Modelling Visualization 52

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

FEBRUARY 28, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Sisense

MARCH 7, 2021

To get truly powerful insights, you need to pull in data from multiple sources. Additional data sources increase your chances to inform actions, fueling top-line and bottom-line growth. Since those early days, Measuremen has broadened its data sources. Simple datasets just won’t cut it anymore. How does it work in real life?

E-Commerce 98

E-Commerce Logistics Healthcare Documentation 98

The BAWorld

SEPTEMBER 2, 2021

We generate enormous amounts of a variety of data every day. Businesses obtain valuable insights by analyzing various data like pdf documents, customer reviews, audio analysis, webcam video analysis, voice processing, fraud detection, etc. Unstructured Data. The list can cover pages and pages!

Big Data 52

Big Data Data Warehouse Data Visualization Visualization 52

Sisense

JULY 14, 2019

Quick question: does your company have data? How about this one: how much data does your company have? If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe?

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

Business Analysts

APRIL 5, 2023

Data analysis and modelling : AI projects require large amounts of data to train machine learning models. Business analysts can help organizations identify the data sources needed for AI projects, perform data analysis, and develop data models.

Artificial Intelligence 52

Artificial Intelligence Business Analysis Business Analysis Requirements Gathering 52

Sisense

JANUARY 6, 2021

Every company is becoming a data company. Data-Powered Apps delves into how product teams are infusing insights into applications and services to build products that will delight users and stand the test of time. Now that you know what you want everything to look like, define and connect your data sources.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Astera

APRIL 23, 2024

Understand your Content Requirements & Data Model To effectively implement data quality metrics, you need a clear understanding of what your data should look like and how it should behave — these are your “content requirements.”

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Ntara

MAY 18, 2021

You can expect a constant back-and-forth as attributes are added and the data model—which both systems have to be aware of—is adjusted. Regardless of attribute type, the configuration in Salesforce should be done in a logical manner that is easy to understand (and well documented) so the attributes get assigned to the right products.

Innovation 52

Innovation Data Governance Customer Experience Customer Experience 52

Sisense

AUGUST 6, 2020

JSON is probably the most common format nowadays for open data interchange. Although it’s designed as a lightweight JavaScript-object-like format, JSON documents can get quite large, especially if they contain deeply nested objects and arrays. Think JSON documents with arrays of objects nesting more arrays and objects.)

Documentation 52

Documentation Embedded Analytics Data Modelling 52

Sisense

SEPTEMBER 12, 2019

We’ve been talking a lot recently about companies needing to use their data in order to stay in business in the future. We’ve even gone as far as saying that every company is a data company , whether they know it or not. Options include emails, meetings, PR, training, enablement, maybe even old-fashioned documentation. .

Government 81

Government Documentation Business Intelligence Business Intelligence 81

Sisense

JULY 8, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Astera

FEBRUARY 14, 2024

Data Mapping: Create a mapping between source and target data fields in Salesforce. Specify how data will be transformed and mapped during the migration process. Ensure alignment with Salesforce data models and consider any necessary data cleansing or enrichment.

IBM Support 52

IBM Support IBM Maintenance IBM cost Data Quality 52

Data Pine

SEPTEMBER 29, 2022

Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business. These needs are then quantified into data models for acquisition and delivery. This person (or group of individuals) ensures that the theory behind data quality is communicated to the development team. 2 – Data profiling.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Astera

APRIL 10, 2023

However, extracting valuable information from unstructured insurance documents can be a daunting and time-consuming task. Enter Astera ReportMiner – a powerful AI-driven data extraction tool that automates the process and unlocks the true potential of insurance data. This ensures accurate and timely reporting.

Documentation 52

Documentation Customer Experience Customer Experience Data Modelling 52

Astera

MARCH 7, 2024

These tests validate and verify the data to ensure accuracy and minimize data loss. This blog offers an in-depth discussion on ETL testing and its types, its necessity, the steps it entails, and how to do it right. Data now heavily impacts businesses at all levels, from everyday operations to strategic decisions.

Data Warehouse 52

Data Warehouse Data Quality Documentation Data Modelling 52

Watermark Learning

OCTOBER 3, 2023

A post from the Watermark Learning Project Brief Blog. Data Modeling-Describes the data important to the business. The model visually represents the data structures, relationships between structures, and detailed data attributes or facts within the structures.

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Bridging the Gap

NOVEMBER 16, 2022

Our core teachings are around process analysis, like in process analysis , use cases , data modeling , which goes to that glossary of terms that you were talking about, and how to manage a whole project or really an initiative. So much of what we create that could be holistic kind of gets lost in the documentation for our project.

Business Architecture 52

Business Architecture Digital Transformation Portfolio Management Vision 52

Astera

APRIL 10, 2023

However, extracting valuable information from unstructured insurance documents can be a daunting and time-consuming task. Enter Astera ReportMiner – a powerful AI-driven data extraction tool that automates the process and unlocks the true potential of insurance data. This ensures accurate and timely reporting.

Documentation 40

Documentation Customer Experience Customer Experience Data Modelling 40

Astera

MAY 13, 2024

This blog offers an in-depth look at data aggregation to help you understand what it is, how it works, and how it benefits your business when done right. Understanding Data Aggregation What is Data Aggregation? Data complexity, granularity, and volume are crucial when selecting a data aggregation technique.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Whizlabs

APRIL 19, 2021

His blog Rick’s Cloud recently celebrated 10 years of cloud computing. When we look back, it’s quite interesting to see how technology has developed over the past decade, and Rick’s Cloud is a testimony of all these changes” – He said in his blog post named Rick’s Cloud – 10 years of Cloud Computing.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Analysts Corner

JULY 28, 2023

There are numerous blog posts about prompt generation, image generation, and more clickbait about how people lose their job. You are familiar with the following keywords: SQL queries, spreadsheet “magic”, data lake, process mining, Tableau, Power BI, or any other business intelligence system.

Artificial Intelligence 130

Artificial Intelligence Business Analysis Business Analysis Predictive Analytics 130

Astera

AUGUST 22, 2023

update is the cutting-edge AI capabilities, enabling data extraction at unprecedented speeds. With just a few clicks, you can effortlessly handle unstructured documents. This new AI feature accelerates and simplifies document processing. Specify the data layout and the fields you want to extract.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

JUNE 3, 2024

In just the last two years , 90% of the world’s data has been created, and the volume of global data doubles every two years. All this data is stored in databases. These databases are suitable for managing semi-structured or unstructured data. The focus is on storing and querying documents.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

MAY 30, 2024

Velocity : The speed at which this data is generated and processed to meet demands is exceptionally high. Variety : Data comes in all formats – from structured, numeric data in traditional databases to emails, unstructured text documents, videos, audio, financial transactions, and stock ticker data.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Sisense

AUGUST 21, 2020

AI and machine learning are the future of every industry, especially data and analytics. Reading through the Gartner Top 10 Trends in Data and Analytics for 2020 , I was struck by how different terms mean different things to different audiences under different contexts. Trend 5: Augmented data management.

Supply Chain 112

Supply Chain Data Modelling Decision Modelling Visualization 112