Analysts Corner

FEBRUARY 5, 2023

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. Food for thought and the way ahead! What do you think?

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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.

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Dataversity

MAY 1, 2023

Many organizations have mapped out the systems and applications of their data landscape. Many have documented their most critical business processes. Many have modeled their data domains and key attributes. But only very few have succeeded in connecting the knowledge of these three efforts.

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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.

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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.

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Astera

MAY 30, 2024

Digitalization has led to more data collection, integral to many industries from healthcare diagnoses to financial transactions. For instance, hospitals use data governance practices to break siloed data and decrease the risk of misdiagnosis or treatment delays.

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Astera

DECEMBER 9, 2024

Data Governance is a systematic approach to managing and utilizing an organizations data. It ensures data quality, security, and accessibility for informed decision-making. However, managing, analyzing, and governing the data is a complex process.

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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. What data is being collected and stored?

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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.

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Analysts Corner

NOVEMBER 24, 2022

Business analysts’ skills comprise both soft skills (facilitation skills, interpersonal, and consultative skills) as well as hard skills (for example, documentation skills, process modeling, requirements engineering, and stakeholder analysis).

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Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

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Astera

JANUARY 1, 2024

What Is Data Quality? Data quality is the measure of data health across several dimensions, such as accuracy, completeness, consistency, reliability, etc. In short, the quality of your data directly impacts the effectiveness of your decisions.

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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.,

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Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

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Dataversity

MAY 29, 2024

billion documents each day on the platform and in the next two years, that is expected to grow by 4.4 times, according to a […] The post Data Logistics Mandates: Devising a Plan to Ensure Long-Term Data Access appeared first on DATAVERSITY. One million companies globally use 365 and create 1.6

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Astera

NOVEMBER 1, 2023

Introduction   As financial institutions navigate intricate market dynamics and heighten regulatory requirements, the need for reliable and accurate data has never been more pronounced. This has spotlighted data governance—a discipline that shapes how data is managed, protected, and utilized within these institutions.

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Dataversity

SEPTEMBER 24, 2024

Generative AI (GenAI), specifically as it pertains to the public availability of large language models (LLMs), is a relatively new business tool, so it’s understandable that some might be skeptical of a technology that can generate professional documents or organize data instantly across multiple repositories.

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Astera

MAY 4, 2023

Given that transparency plays an important role in document processing, it is imperative for businesses to implement measures that ensure transparency. from 2022 to 2027. Transparency: The Key Ingredient for Successful Automated Document Processing The global intelligent document processing market revenue stood at $1.1

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Dataversity

JANUARY 4, 2023

This document describes the rights that should be protected when implementing automated systems using AI technology. The Office of Science and Technology Policy (OSTP) of the White House has issued the blueprint of the AI Bill of Rights. The paper lists the following five principles that define these rights: 1.

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Astera

DECEMBER 16, 2024

Real-Time Dynamics: Enable instant data synchronization and real-time processing with integrated APIs for critical decision-making. Flawless Automation: Automate data workflows, including transformation and validation, to ensure high data quality regardless of the data source.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

Historical Analysis Business Analysts often need to analyze historical data to identify trends and make informed decisions. Data Warehouses store historical data, enabling analysts to perform trend analysis and make accurate forecasts. Data Quality Data quality is crucial for reliable analysis.

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Astera

AUGUST 29, 2024

It involves: Assessing the Data Landscape: Identifying and documenting data sets, sources, systems, formats, and quality across both organizations. Assessment includes understanding data ownership, usage, and dependencies. This mapping helps establish data equivalencies and identify potential discrepancies.

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Astera

JUNE 12, 2024

Data lineage is an important concept in data governance. It outlines the path data takes from its source to its destination. Understanding data lineage helps increase transparency and decision-making for organizations reliant on data. This complete guide examines data lineage and its significance for teams.

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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?

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Astera

JULY 12, 2024

A resource catalog is a systematically organized repository that provides detailed information about various data assets within an organization. This catalog serves as a comprehensive inventory, documenting the metadata, location, accessibility, and usage guidelines of data resources.

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CMW Lab Blog

NOVEMBER 20, 2024

Key Success Factors Data quality management Employee training Infrastructure readiness Change management Benefits of AI-Enhanced BPA Operational Efficiency 40-60% reduction in processing time 30-50% cost savings 90% reduction in human error 2.

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Ntara

JUNE 26, 2023

At Ntara, we remove the mystery by clearly defining what each data engagement involves and how it helps your business. One such deliverable is a master attribute document, or MAD. What is a master attribute document? It’s important to know that a MAD is a living document, not a one-and-done project.

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Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

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Astera

AUGUST 30, 2024

Data Cleansing and Preparation Data cleansing and preparation can involve deduplicating your data sets to ensure high data quality and transforming your data format to one supported by the cloud platform. Read more: Practical Tips to Tackle Data Quality Issues During Cloud Migration 3.

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Astera

MAY 8, 2024

Improved Data Quality and Governance: Access to high-quality data is crucial for making informed business decisions. A business glossary is critical in ensuring data integrity by clearly defining data collection, storage, and analysis terms.

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Business Analysis Knowledge Share

MARCH 15, 2023

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

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BI Insight

APRIL 29, 2023

Power BI is more than just a reporting tool; it is a comprehensive analytical platform that enables users to collaborate on data insights and share them internally and externally. In recent years, Power BI has become one of the most widely used business intelligence (BI) tools.

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Business Analysts

AUGUST 7, 2024

According to Gartner , hyperautomation is “a business-driven approach that uses multiple technologies, robotic process automation (RPA), artificial intelligence (AI), machine learning, mixed reality, process mining, intelligent document processing (IDP) and other tools to automate as many business and IT processes as possible.”

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Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

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Astera

SEPTEMBER 4, 2024

This approach involves delivering accessible, discoverable, high-quality data products to internal and external users. By taking on the role of data product owners, domain-specific teams apply product thinking to create reliable, well-documented, easy-to-use data products.

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Astera

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

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Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. Data breaches and regulatory compliance are also growing concerns.

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