Business Analysis Knowledge Share

OCTOBER 27, 2023

This data, if harnessed effectively, can provide valuable insights that drive decision-making and ultimately lead to improved performance and profitability. This is where Business Intelligence (BI) projects come into play, aiming to transform raw data into actionable information.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

MAY 20, 2024

Data Provenance vs. Data Lineage Two related concepts often come up when data teams work on data governance: data provenance and data lineage. Data provenance covers the origin and history of data, including its creation and modifications. Who created this data?

Data Governance 52

Data Governance Healthcare Government Data Quality 52

Astera

FEBRUARY 28, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

JUNE 14, 2024

The way that companies govern data has evolved over the years. Previously, data governance processes focused on rigid procedures and strict controls over data assets. Active data governance is essential to ensure quality and accessibility when managing large volumes of data.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs. So, let’s get started!

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Astera

JUNE 6, 2023

These architectures are designed to handle massive datasets by utilizing distributed computing frameworks like Apache Hadoop and Apache Spark, along with employing parallel processing and data partitioning techniques. Data Transformation: Apply transformation rules for data cleansing, validation, formatting, standardization, and profiling.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. Is the data secure?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

APRIL 29, 2024

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. What is a Data Governance Strategy? A data governance strategy is a comprehensive framework that outlines how data is named, stored, and processed.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

MAY 4, 2023

These applications are all electronic and have a wealth of information about the borrowers, including their finances, credit history, and jobs. You might use AI-powered software to process these applications automatically, but there’s a catch.

Documentation 40

Documentation Artificial Intelligence Data Security Monitoring 40

Whizlabs

JUNE 29, 2021

Azure IoT Suite provides many alternatives for the connection and monitoring of devices and the provision of analytics and telemetry services. The Azure Redis Cache is a managed variant of the Redis data structure server. Azure Search provides managed search services based on OData. Estimating The Growth.

Cloud Computing 98

Cloud Computing Data Security Data Governance Government 98

Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

Data Governance 52

Data Governance Government Data Management Data Security 52

Astera

MAY 14, 2024

Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. It helps you discover, access, use, store, and retrieve your data, having a wide spread of variations. Examples include time stamps, execution logs, data lineage, and dependency mapping.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

MAY 13, 2024

Once aggregated, data is generally stored in a data warehouse. Then, you can leverage it to gain a holistic perspective on your operations and market trends, design effective risk management practices, and make more informed decisions overall. Better Insights Aggregated data unlocks deeper insights into your business.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

MARCH 28, 2024

It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. Efficiently managing large amounts of information is crucial for companies to stay competitive. This practice is especially applicable to large organizations with scattered data.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

AUGUST 8, 2023

While data volume is increasing at an unprecedented rate today, more data doesnt always translate into better insights. What matters is how accurate, complete and reliable that data. IBM InfoSphere Information Server enables continuous data cleansing and tracking, allowing organizations to turn raw data into trusted information.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

NOVEMBER 28, 2023

Promoting Data Governance: Data pipelines ensure that data is handled in a way that complies with internal policies and external regulations. For example, in insurance, data pipelines manage sensitive policyholder data during claim processing.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

FEBRUARY 27, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

MARCH 20, 2024

For example, with a data warehouse and solid foundation for business intelligence (BI) and analytics , you can respond quickly to changing market conditions, emerging trends, and evolving customer preferences. Data breaches and regulatory compliance are also growing concerns. Data Quality Management Not all data is created equal.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

FEBRUARY 27, 2024

A data warehouse works by following a series of steps that involve extracting, transforming, loading, and querying data. Data Transformation Here, data undergoes a metamorphosis, turning into a standardized and consistent format compatible with the data warehouse schema.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Domo

MAY 24, 2023

Continuous model optimization —Businesses can keep perfecting model performance through constant tracking and monitoring. Easy deployment —Businesses can easily deploy AI models into low-code and no-code data experiences. Businesses get all the benefits of AI while adhering to strict data governance standards.

Innovation 98

Innovation Artificial Intelligence Government Data Governance 98

Sisense

JULY 6, 2020

EDM covers the entire organization’s data lifecycle: It designs and describes data pipelines for each enterprise data type: metadata, reference data, master data, transactional data, and reporting data. Data governance is the foundation of EDM and is directly related to all other subsystems.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

NOVEMBER 13, 2023

But have you ever wondered how data informs the decision-making process? The key to leveraging data lies in how well it is organized and how reliable it is, something that an Enterprise Data Warehouse (EDW) can help with. The architecture of an EDW ensures high data integrity, reliability, and accessibility.

Data Warehouse 52

Data Warehouse E-Commerce Supply Chain Real-time Data 52

Astera

OCTOBER 12, 2023

Data Preparation: Informatica allows users to profile, standardize, and validate the data by using pre-built rules and accelerators. Data Monitoring: The solution provides users with visibility into the data set to detect and identify any discrepancies. This allows for well-informed decisions and accurate analysis.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

JULY 13, 2023

Without a systematic approach to data preparation of these diverse data sets, valuable insights can easily slip through the cracks, hindering the company’s ability to make informed decisions. That is where data integration and data consolidation come in.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Astera

JUNE 3, 2024

Database definition A database is a structured collection of data designed to store, manage, and retrieve information. In a database, also denoted as DB, data is normally arranged within tables, defined by rows and columns, like a spreadsheet layout that facilitates data organization.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Clarasys

JANUARY 5, 2022

Eventually, this pandemic will become a distant memory for future generations but what will remain, will be a treasure trove of information. That’s millions and millions of data points about you and I and the technology with the potential to infringe on our civil liberties. .

Government 52

Government Artificial Intelligence Data Governance Innovation 52

ElegantJ BI

JANUARY 8, 2016

We believe that informed clients are better to make an educated decision and choose the BI tool that is right for their organization and business users. ElegantJ BI allows true Data Governance so users can access a controlled centralized semantic meta-data layer without direct access to underlying data sources.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Predictive Analytics 130

ElegantJ BI

JANUARY 8, 2016

We believe that informed clients are better to make an educated decision and choose the BI tool that is right for their organization and business users. Myth #2: True Self-Serve BI Tools Will Compromise Data Governance. Performance Management takes more than static displays and monitoring of gauges on an exotic dashboard.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Predictive Analytics 130

Astera

APRIL 24, 2024

As data variety and volumes grow, extracting insights from data has become increasingly formidable. Processing this information is beyond traditional data processing tools. Automated data aggregation tools offer a spectrum of capabilities that can overcome these challenges.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52