Systems | Development | Analytics | API | Testing

August 2024

On-Premise to Cloud Migration: Types, Benefits, Best Practices & More

Twelve years ago, a Wakefield Research survey revealed that 1 in 3 Americans thought cloud computing was somehow related to the weather. Fast forward to today, 67% of enterprise infrastructure in the US is cloud-based. Given that 92% of enterprises already have a multi-cloud strategy in place or in the works, it’s evident that embracing cloud migration is no longer just an option but a strategic necessity.

The Role of Data Governance in Successful Mergers and Acquisitions: Why It Matters

Mergers and acquisitions (M&A) have become a stepping stone to corporate growth strategies. Companies worldwide are actively turning to these deals to expand market reach and drive financial performance. The latest data from EY-Parthenon confirms this trend, with M&A activity projected to surge by 12% in 2024. While the idea of combining companies is undeniably exciting, a critical yet often overlooked factor that can either make or break a deal is data governance.

The Guide to Data Integration in Merger and Acquisition

Mergers and acquisitions (M&As) are strategic business activities where two or more companies join forces by combining their assets, operations, and management structures, often resulting in a unified entity or allowing one company to absorb another. These transactions are typically pursued to enhance competitive advantage, expand market share, or achieve operational efficiencies.

Navigating Data Management Challenges in Mergers & Acquisitions: 9 Best Practices for a Smooth Transition

In the high-stakes world of business, mergers and acquisitions (M&A) represent a strategic move for companies to accelerate growth, diversify offerings, and enhance market presence. As reported by Bain & Company, the world of strategic M&A witnessed 27,000 deals announced, totaling approximately $2.4 trillion in the year 2023. M&A deals, whether they involve acquiring a competitor, entering a new market, or merging with a complementary business, reshape industries.

Streamlining Data Migration In Mergers and Acquisitions

When Facebook acquired WhatsApp in 2014, they had to integrate an enormous amount of data—450 million monthly active users generating billions of messages, photos, and videos daily—into Facebook’s systems. This data migration required precise planning and execution to ensure a smooth transition and prevent data loss while maintaining the accuracy and integrity of the information.

Batch Processing vs. Stream Processing: A Complete Guide

Every organizational activity or interaction today generates data. This quickly creates large amounts of data at organizational and departmental levels, but data generation is only the beginning. No matter how much raw data you have at your disposal, you can only leverage it fully if you know how to process it correctly for your requirements. You can process data flows using one of two approaches: batch processing or batch processing.

A Guide to ERP Data Migration: Challenges and Best Practices

Across industries worldwide, businesses are turning to ERP to automate repetitive tasks, enjoy easy scalability, stay flexible, and derive insights using a single source of truth. According to Statista, Enterprise Resource Planning (ERP) software market revenue will reach USD 53.15 billion this year. If your organization implements an ERP system, you’ll find that data migration is one of the most critical components of this process.

How to modernize your legacy data I Astera Data Stack

As companies face the challenge of outdated systems, we will guide you through the process of enhancing your CRM's capabilities by building robust APIs. Watch as we create CRUD APIs for the Accounts table, deploy them as an API product, and develop a Sales Analytics API to gain insights into your sales pipeline. Additionally, we will introduce the Deals Notification API, which automates the identification of deals in progress without assigned sales agents. Learn how Astera can simplify this modernization journey and ensure your CRM remains relevant and efficient.

The Impact of Data Quality on M&A Success

Technological advancements are driving mergers and acquisitions (M&As) at an unprecedented rate. Companies aim to extend their market reach, acquire new technologies, and achieve cost synergies through these deals. For instance, in 2023, nearly 40,000 mergers and acquisition (M&A) deals were completed worldwide. For a successful merger, companies should make enterprise data management a core part of the due diligence phase.

A Comprehensive Guide to Workflow Automation

Workflow automation involves automating repetitive tasks and processes in a sequence using technology, reducing the need for manual intervention. It involves designing, creating, deploying, and automating business processes like data entry and customer interactions. Workflow automation uses software to replace manual and paper-based processes. Its primary goal is to ensure that the right people work on the right tasks at the right time.

What is Workflow Orchestration? A Complete Guide

Workflows determine how organizations conduct processes. These workflows can initially be very straightforward—just a simple series of steps that must be completed sequentially to achieve a particular outcome. However, the steps can become more complicated as business processes and requirements become more extensive. Your organization needs to keep these workflows running smoothly even as they become more complicated.

Data Migration Challenges: Strategies for a Smooth Transition

Smooth and effective data migration helps organizations move data across systems efficiently to maintain their competitive advantage. Still, Gartner reports that only 17% of initiatives involving data migration are completed within their budgets or set timelines. Understanding these data migration challenges is the first step toward overcoming them. In this blog, we’ll explore data migration and its different types, challenges, and strategies for dealing with them.

Data Mesh Defined: Principles, Architecture, and Benefits

Organizations today are accumulating data more than ever. Traditional data management approaches, such as centralized data warehouses and siloed data marts, are struggling to keep pace with the ever-increasing volume, velocity, and variety of information. The complexity of modern data environments is outpacing the capabilities of these legacy systems and demands a more agile and distributed solution.

What is Data Orchestration? Definition, Process, and Benefits

The modern data-driven approach comes with a host of benefits. A few major ones include better insights, more informed decision-making, and less reliance on guesswork. However, some undesirable scenarios can occur in the process of generating, accumulating, and analyzing data. One such scenario involves organizational data scattered across multiple storage locations. In such instances, each department’s data often ends up siloed and largely unusable by other teams.

A Complete Guide to Managing Data Access

With organizations prioritizing data-driven decision-making, the amount of collected and stored data is reaching historic highs. Meanwhile, organizations are democratizing access across all functions to convert this data into actionable insights. Since more users will work with sensitive data, ensuring secure access is more important than ever. Organizations must regulate and maintain the relationship between their data assets and users. Why?

What is Process Orchestration? A Complete Guide

Process orchestration, also called business process orchestration, is an approach to manage and organize multiple automated tasks or workflows within a business process, like ETL process orchestration. It involves coordinating data extraction, transformation, and loading tasks across various systems to create a unified data source.

What is Data Modernization? Benefits, Importance & Components

Data modernization transforms an organization’s data into more usable and accessible formats, making it usable by modern applications and systems, such as cloud-native applications, IoT devices, and mobile applications. Data modernization also includes extracting, cleaning, and migrating the data into advanced platforms.

How Automated Financial Data Integration Streamlines Fraud Detection

Do you know proactive fraud detection and prevention could save organizations up to a staggering $5.9 billion annually? However, gathering relevant data for this purpose is no easy task. Financial data integration plays a crucial role in the fight against fraud, enabling organizations to merge data from various sources and formats into a unified, consistent view. However, gathering relevant data for this purpose is no easy task.

Data Governance Demo I Astera Data Stack

Discover Astera Data Governance, the comprehensive solution designed to simplify and secure your data management processes. With a single platform, manage and govern your data assets efficiently, ensuring data quality, security, and accessibility. Watch our demo to see how Astera Data Governance can centralize your data assets, streamline data discoverability, and empower your organization with robust data access management.

What is Business Analytics? Definition, Benefits & Challenges

Business analytics is analyzing data to find insights that inform business decisions. Fundamentally, it involves applying data analytics tools and techniques to a business setting to simplify decision-making and improve business outcomes. Often shortened to BA, business analytics includes: With the right tools and techniques, enterprises can turn raw data into actionable insights, driving strategic decision-making and sustainable growth.