Astera

OCTOBER 10, 2023

Managing data effectively is a multi-layered activity—you must carefully locate it, consolidate it, and clean it to make it usable. One of the first steps in the data management cycle is data mapping. Data mapping is the process of defining how data elements in one system or format correspond to those in another.

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Business Analysis Knowledge Share

OCTOBER 24, 2023

This article aims to provide a comprehensive overview of Data Warehousing, breaking down key concepts that every Business Analyst should know. Introduction As businesses generate and accumulate vast amounts of data, the need for efficient data management and analysis becomes paramount.

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Smart Data Collective

APRIL 30, 2021

According to the 2020 Cost of a Data Breach Report by IBM, businesses could lose at least $3.86 million to a data breach. The best way to avoid losses and a reputational blow are by implementing the right preventive measures and keeping your exposure low. For this, here are a few tips to keep in mind.

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Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. 2. Talend Talend is another data quality solution designed to enhance data management processes.

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Astera

JANUARY 18, 2024

Data Quality : It includes features for data quality management , ensuring that the integrated data is accurate and consistent. Data Governance : Talend’s platform offers features that can help users maintain data integrity and compliance with governance standards.

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Astera

FEBRUARY 6, 2024

IBM estimates that the insurance industry contributes significantly to the creation of 2.5 quintillion bytes of data every day, with claims data being a major contributor to this massive volume. Manual processing of this data is no longer practical, given the large data volume.

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The BAWorld

SEPTEMBER 27, 2024

Learn other data analyst skills in our TechCanvass’s Data Analytics course. What is Data Modeling? Data modeling is the process of mapping how data moves from one form or component to another, either within a single database or a data management system.

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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. What is Big Data Integration?

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Astera

MARCH 13, 2023

It’s a tough ask, but you must perform all these steps to create a unified view of your data. Fortunately, we have an enterprise-grade data management platform to solve this conundrum. SQL Anywhere is compatible with multiple platforms, including Windows, HP-UX, Mac OS, Oracle Solaris, IBM AIX, and UNIX.

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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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Bintelligence

DECEMBER 7, 2021

Keegan, CEO, Merchant's Fleet Antti Nivala, Founder and CEO, M-Files Lev Peker, Director and CEO, CarParts.com Tony Safoian, President and CEO, SADA Systems Raj Sundaresan, CEO, Altimetrik Matt Walmsley, Chief International Officer, Strategy, SurveyHealthcareGlobus Small Business Executive of the Year Matt Hankey, President and CEO, New Energy Equity (..)

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Whizlabs

APRIL 19, 2021

From there to management role and now he is a chief revenue officer at OneUp Sales. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. His Cloud DevSecOps App Skills includes IBM, AWS, Google, Azure (Kubernetes multi-cloud.) Maximiser, Miller Heiman and more.

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Astera

JANUARY 19, 2024

Shortcomings in Complete Data Management : While MuleSoft excels in integration and connectivity, it falls short of being an end-to-end data management platform. Notably, MuleSoft lacks built-in capabilities for AI-powered data extraction and the direct construction of data warehouses.

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Insight Software

OCTOBER 19, 2022

The single platform offers a uniform view on customers, products, and markets with interactive and responsive applications – from data management to visualizations, reports, and guided planning workflows. insightsoftware offers a vast number of solutions to enable our customers to unlock business data and achieve this reality.

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Insight Software

OCTOBER 19, 2022

The single platform offers a uniform view on customers, products, and markets with interactive and responsive applications – from data management to visualizations, reports, and guided planning workflows. insightsoftware offers a vast number of solutions to enable our customers to unlock business data and achieve this reality.

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Astera

JUNE 20, 2024

These tools also offer pre-built security features, scalability through cloud infrastructure, and managed maintenance, all on a subscription basis. In-House API Integration Pipeline Management On the other hand, in-house API management allows customized connections and high flexibility. Get started with a free trial now.

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Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. What Is Informatica?

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Astera

DECEMBER 28, 2023

Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for data management and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization. What Is Informatica?

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Astera

AUGUST 12, 2024

Fraudsters often exploit data quality issues, such as missing values, errors, inconsistencies, duplicates, outliers, noise, and corruption, to evade detection and carry out their schemes. According to Gartner , 60% of data experts believe data quality across data sources and landscapes is the biggest data management challenge.

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Sisense

MARCH 20, 2019

As a simple, dynamic and scalable database, the motivation behind the language is to allow you to implement a high performance, high availability, and automatic scaling data system. Get ready data engineers, now you need to have both AWS and Microsoft Azure to be considered up-to-date. Cloud Migration.

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Astera

FEBRUARY 9, 2024

According to a survey by Experian , 95% of organizations see negative impacts from poor data quality, such as increased costs, lower efficiency, and reduced customer satisfaction. According to a report by IBM , poor data quality costs the US economy $3.1 Saving money and boosting the economy.

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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

MARCH 31, 2022

For instance, you will learn valuable communication and problem-solving skills, as well as business and data management. Added to this, if you work as a data analyst you can learn about finances, marketing, IT, human resources, and any other department that you work with. A well-crafted business intelligence resume.

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Actian

JULY 31, 2019

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.

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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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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. Alteryx Alteryx is a data analytics platform offering a suite of data aggregation tools.

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Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals. Try it Now!

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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 SAS Viya is one of the most expensive data analysis tools.

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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. For years, companies have struggled to integrate all of their data into a single platform that can also be scalable.

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Insight Software

MAY 1, 2023

Software upgrades and maintenance are commonly included for an additional 15 to 30 percent annual fee. Services Technical and consulting services are employed to make sure that implementation and maintenance go smoothly. Developer Resources Internal developers should be included in the initial phase of implementation.

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Insight Software

NOVEMBER 12, 2024

Manufacturers must now rethink their data management strategies and boost collaboration across supply chains to stay competitive and meet these evolving consumer expectations. Δ The post Seamlessly Implement the Digital Product Passport (DPP) Using Your Agility PIM Data appeared first on insightsoftware.

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Insight Software

NOVEMBER 14, 2024

However, the path to cloud adoption is often fraught with concerns about operational disruptions, downtime, and the complexities of maintaining seamless business operations. According to recent FSN research , just one day of data downtime can equate to a six-figure cost for your organization.

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Insight Software

APRIL 25, 2024

Internal Controls : Companies must establish and maintain internal control structures and procedures for financial reporting. SOX, in the context of IT, requires companies to implement controls that safeguard the accuracy of financial reporting. This, in turn, helps maintain the overall stability and credibility of financial markets.

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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

MARCH 25, 2024

Use of Medical Equipment : This hospital metric highlights the utilization of equipment and consequently, the maintenance cost associated with it. If the medical equipment utilization KPI is neglected, it will lead to high maintenance costs and wasted manpower. Most technologies could either be repurposed or decommissioned and sold.

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Insight Software

SEPTEMBER 25, 2024

As a software vendor, providing your customers with a robust and adaptable analytics platform is crucial for maintaining a competitive edge. By investing in a flexible and scalable analytics infrastructure, you can empower your customers to extract maximum value from their data, drive innovation, and make informed decisions.

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Insight Software

JUNE 25, 2023

Use of Medical Equipment : This hospital metric highlights the utilization of equipment and consequently, the maintenance cost associated with it. If the medical equipment utilization KPI is neglected, it will lead to high maintenance costs and wasted manpower. Most technologies could either be repurposed or decommissioned and sold.

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