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7 Real-Life Business Process Automation Examples to Inspire Your Strategy

May 23, 2024 By Elizabeth Bell In Appian
Think about the monotonous task of extracting data from sources like spreadsheets and emails and typing it into various systems. Repetitive tasks and manual workflows lurking inside business processes slow down teams, introduce human error, and erode employee engagement. Slow, ineffective processes can also kill an organization’s time to market and customer satisfaction.
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7 Crucial Data Governance Best Practices To Implement

May 22, 2024 By Zoha Shakoor In Astera
Data governance covers processes, roles, policies, standards, and metrics that help an organization achieve its goals by ensuring the effective and efficient use of information. It sets up the processes and responsibilities necessary to maintain the data’s quality and security across the business. Data governance manages the formal data assets of an organization.
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Upgrade Your Processes with 11 New Generative AI Skills in Appian 24.2

May 22, 2024 By Dan O'Keefe In Appian
AI can offer transformative business value. But you need the right combination of capabilities. Appian is continuing its history of providing practical value to enterprises across industries with the new AI capabilities in our 24.2 release—from 11 new generative AI skills that help you optimize mission-critical processes to the release of our Enterprise Copilot that gives users instant answers to their questions. This post will cover the latest enhancements to our AI offerings.
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ANSI X12 vs EDIFACT: Key Differences

May 21, 2024 By Ammar Ali In Astera
Electronic Data Interchange (EDI) is a popular communication method that enterprises use to exchange information accurately and quickly with trading partners. EDI transmits data almost instantaneously — serving as a fast and efficient mode for exchanging business documents. ANSI X12 vs. EDIFACT are the two most common EDI standards used for EDI, but they have different structures, styles, and usage.
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What Is Database Schema? A Comprehensive Guide

May 21, 2024 By Usman Hasan Khan In Astera
A database schema, or DB schema, is an abstract design representing how your data is stored in a database. Database schemas can be visually represented using schema diagrams, such as the one below: A database schema diagram visually describes the following: Database schemas are at the heart of every scalable, high-performance database. They’re the blueprint that defines how a database stores and organizes data, its components’ relationships, and its response to queries.
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Introducing Appian Case Management Studio: A Faster Way to Build Flexible Apps for Casework

May 21, 2024 By Appian In Appian
Join us for an overview session covering Appian Case Management Studio, a modular approach for building fast, flexible enterprise applications that help you manage casework. We’ll cover the basics of case management, explore common use cases, and show how Appian simplifies case workflows.
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Case Management Studio

May 20, 2024 By Appian In Appian
From service requests to employee onboarding to regulatory compliance, case management processes are a critical part of business operations. And in a digital-first world, dated methods for managing casework simply can’t keep up.Appian Case Management Studio provides a modular approach to case management that covers 80% of typical casework needs out of the box. Watch the demo to learn how you can quickly build flexible, enterprise-grade apps for managing casework with Appian Case Management Studio.
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6 Ways Local Government Automation Can Transform the Citizen Experience

May 20, 2024 By Vishal Hanjan In Appian
Local governments aim to serve the needs of their communities by fostering a safe, prosperous, and vibrant environment where residents and businesses can thrive. But too often, inefficient processes and manual, paper-based tasks consume valuable time and resources. This leads to delays, errors, and inconsistencies in the delivery of essential services, eroding citizen satisfaction and trust.
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Data Provenance vs. Data Lineage: Key Differences

May 20, 2024 By Junaid Baig In Astera
Two related concepts often come up when data teams work on data governance: data provenance and data lineage. While they may seem similar at first glance, there are fundamental differences between the two concepts. Data provenance covers the origin and history of data, including its creation and modifications. On the other hand, data lineage tracks the data’s journey through various systems and processes, highlighting its flow and transformation across different data pipeline stages.
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