The BAWorld

JULY 22, 2024

Data Quality Analyst The work of data quality analysts is related to the integrity and accuracy of data. They have to sustain high-quality data standards by detecting and fixing issues with data. They create metrics for data quality and implement data governance procedures.

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Astera

APRIL 29, 2024

In short, a data governance strategy includes the following: Establishing principles, policies, and procedures for data management. Implementing governance bodies to oversee compliance. Aligning the overarching data strategy. What are data privacy and security protocols? Why is a Data Governance Strategy Needed?

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Astera

SEPTEMBER 4, 2023

This article navigates through the top 7 data replication software available in the market and explains their pros and cons so you can choose the right one. The Importance of Data Replication Software Data replication involves creating and maintaining multiple copies of crucial data across different systems or locations.

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Astera

OCTOBER 10, 2023

Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration , improving data quality, and enhancing decision-making processes.

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Astera

APRIL 10, 2023

A staggering amount of data is created every single day – around 2.5 quintillion bytes, according to IBM. In fact, it is estimated that 90% of the data that exists today was generated in the past several years alone. The world of big data can unravel countless possibilities. Talk about an explosion!

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Astera

JANUARY 18, 2024

Get data extraction, transformation, integration, warehousing, and API and EDI management with a single platform. Talend is a data integration solution that focuses on data quality to deliver reliable data for business intelligence (BI) and analytics. Pros: Support for multiple data sources and destinations.

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Astera

MARCH 13, 2023

SAP SQL Anywhere SAP SQL Anywhere is a relational database management system (RDBMS) that stores data in rows and columns. SQL Anywhere is compatible with multiple platforms, including Windows, HP-UX, Mac OS, Oracle Solaris, IBM AIX, and UNIX. Moreover, such an undertaking almost always puts data quality at high risk.

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Astera

JANUARY 23, 2023

Ensuring timely access to information cannot be accessible with a high volume of healthcare data produced. A centralized data system ensures a seamless clinical experience for both patients and physicians to save both time and resources required to access and file data.

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Astera

FEBRUARY 14, 2024

Ensure alignment with Salesforce data models and consider any necessary data cleansing or enrichment. Data Extraction: Extract data from the source systems according to the mapping plan. Data Transformation: Apply necessary transformations to the extracted data to align it with Salesforce requirements.

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Astera

NOVEMBER 20, 2023

Security and Authentication: API management tools provide mechanisms for securing APIs, implementing authentication, and controlling access through methods such as API keys, OAuth, or other authentication protocols. They provide an array of benefits, such as secure data sharing, faster time-to-insight, and increased scalability.

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Astera

AUGUST 12, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for financial data integration project, especially detecting fraud.

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Astera

FEBRUARY 9, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for any data integration project, especially for fraud detection.

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Astera

DECEMBER 28, 2023

Its implementation requires significant investments in hardware and infrastructure, making the overall total cost of ownership (TCO) much higher—even in the long run. Transform and shape your data the way your business needs it using pre-built transformations and functions. Offers built-in transformations, including unions and joins.

IBM cost 52

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Astera

DECEMBER 28, 2023

Its implementation requires significant investments in hardware and infrastructure, making the overall total cost of ownership (TCO) much higher—even in the long run. Transform and shape your data the way your business needs it using pre-built transformations and functions. Offers built-in transformations, including unions and joins.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

JANUARY 19, 2024

Astera Astera is an enterprise-grade unified end-to-end data management platform that enables organizations to build automated data pipelines easily in a no-code environment. Key Features: Unified platform for AI-powered data extraction, preparation, integration, warehousing, edi mapping and processing, and API lifecycle management.

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Astera

OCTOBER 19, 2023

Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. Despite intensive regulations, data breaches continue to result in significant financial losses for organizations every year. According to IBM research , in 2022, organizations lost an average of $4.35

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Data Pine

AUGUST 29, 2022

Managing data in its full scope is not an easy task, especially when it comes to system design. This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market.

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Data Pine

APRIL 16, 2019

By implementing the right reporting tools and understanding how to analyze as well as to measure your data accurately, you will be able to make the kind of data driven decisions that will drive your business forward. Exclusive Bonus Content: How to be data driven in decision making? 3) Gather data now.

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Astera

APRIL 24, 2024

Example Scenario: Data Aggregation Tools in Action This example demonstrates how data aggregation tools facilitate consolidating financial data from multiple sources into actionable financial insights. Advanced Data Transformation : Offers a vast library of transformations for preparing analysis-ready data.

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Data Pine

DECEMBER 4, 2019

IBM Watson is the leader in this segment, following by Google and Facebook that are rapidly building systems to tackle this market. One example in business intelligence would be the implementation of data alerts. With the expected generated revenue of $13.8 BN in 2020, it registered a CAGR of 33.1% in the last 5 years.

Business Intelligence 84

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Astera

AUGUST 28, 2024

Users get simplified data access and integration from various sources with data quality tools and data lineage tracking built into the platform. Offers granular access control to maintain data integrity and regulatory compliance. Cons Compared to other analysis tools, implementing SAP is challenging.

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Astera

APRIL 10, 2023

This highlights the growing significance of managing data effectively. As we move forward into 2023, it’s critical for businesses to keep up with the latest trends in data management to maintain a competitive edge. According to a recent study by IBM , the average cost of a data breach is $4.85

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Insight Software

MAY 9, 2024

Data Loading : The transformed data is loaded into the destination system, such as a data warehouse , data lake, or another database, where it can be used for analytics, reporting, or other purposes. By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making.

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Insight Software

DECEMBER 23, 2021

Data quality has always been at the heart of financial reporting , but with rampant growth in data volumes, more complex reporting requirements and increasingly diverse data sources, there is a palpable sense that some data, may be eluding everyday data governance and control. Data Quality Audit.

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Insight Software

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

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Insight Software

SEPTEMBER 1, 2023

By forecasting demand, identifying potential performance bottlenecks, or predicting maintenance needs, the team can allocate resources more efficiently. These include data privacy and security concerns, model accuracy and bias challenges, user perception and trust issues, and the dependency on data quality and availability.

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Insight Software

AUGUST 24, 2023

Although many companies run their own on-premises servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. The Harvard Business Review study finds that 88% of organizations that already have a hybrid model in place see themselves maintaining the same strategy into the future.

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Insight Software

NOVEMBER 7, 2023

But with two data streams hybrid instances can be challenging to manage and maintain without the right tools. But with two data streams hybrid instances can be challenging to manage and maintain without the right tools.

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Insight Software

NOVEMBER 12, 2024

However, it also brings unique challenges, especially for finance teams accustomed to customized reporting and high flexibility in data handling, including: Limited Customization Despite the robustness and scalability S/4HANA offers, finance teams may find themselves challenged with SAP’s complexity and limited customization options for reporting.

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Insight Software

SEPTEMBER 26, 2023

Research has pinpointed three key pain points that companies encounter with their SAP data: a prevailing sense of data distrust, a lack of maintenance and data cleansing, and a shortage of skilled users. This underscores the need for robust data cleansing solutions.

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Insight Software

FEBRUARY 23, 2024

Implementing a PIM or PXM* solution will bring numerous benefits to your organization, in terms of improving efficiency, increasing sales and conversions, reducing returns, and promoting customer loyalty through more accurate, more complete, and more engaging product content. Here we explore these benefits in more detail.

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Insight Software

MARCH 4, 2024

The CSRD and the ESRS will be implemented in 4 stages, the first of which will enter into force in 2025 and will apply to the financial year 2024. What is the best way to collect the data required for CSRD disclosure? Who does the CSRD and the ESRS apply to and when?

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Insight Software

OCTOBER 26, 2023

If your finance team is using JD Edwards (JDE) and Oracle E-Business Suite (EBS), it’s like they rely on well-maintained and accurate master data to drive meaningful insights through reporting. For these teams, data quality is critical. Inaccurate or inconsistent data leads to flawed insights and decisions.

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Insight Software

MARCH 13, 2024

Its easy-to-configure, pre-built templates get you up and running fast without having to understand complex Dynamics data structures. Free your team to explore data and create or modify reports on their own with no hard coding or programming skills required. With Atlas, you can put your data security concerns to rest.

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Insight Software

OCTOBER 24, 2023

Why Finance Teams are Struggling with Efficiency in 2023 Disconnected SAP Data Challenges Siloed data poses significant collaboration challenges to your SAP reporting team like reporting delays, limited visibility of data, and poor data quality.

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Insight Software

MARCH 4, 2024

Data governance and compliance become a constant juggling act. Maintaining data integrity and adhering to regulations require meticulous attention to detail, adding another layer of complexity to the already challenging data management landscape. Say goodbye to complex ABAP coding and lengthy SAP implementations.

Data Management 52

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Insight Software

MAY 6, 2024

However, if your team is accustomed to traditional methods they might hesitate to embrace SAP IBP’s AI-powered data anomaly detection for a few reasons. Firstly, there’s a potential fear of the unknown – relying on AI for such a critical task as data quality can feel like a leap of faith.

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