Analysts Corner

AUGUST 15, 2022

Photo by Myriam Jessier on Unsplash There’s no denying that data is vital for businesses. Data helps organizations better understand their customers, track progress against plan, and develop strategies for long-term success. This is because inaccurate or outdated data can lead to many problems. There is no one answer?

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Smart Data Collective

DECEMBER 21, 2022

This market is growing as more businesses discover the benefits of investing in big data to grow their businesses. One of the biggest issues pertains to data quality. Even the most sophisticated big data tools can’t make up for this problem. Data cleansing and its purpose.

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Timo Elliott

JANUARY 4, 2021

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo. And finally, agility.

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Timo Elliott

JANUARY 3, 2022

Improving data quality. Unexamined and unused data is often of poor quality. Today’s data quality solutions, augmented by machine learning capabilities, can help sift through the noise, identify the patterns of bad data quality, and help fix the problem. Data augmentation.

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Dataversity

MAY 16, 2022

The hallmark of any successful Data Governance implementation is awareness.

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Dataversity

MARCH 29, 2024

Instead of starting data protection strategies by planning backups, organizations should flip their mindset and start by planning recovery: What data needs to be recovered first? What systems […] The post World Backup Day Is So 2023 – How About World Data Resilience Day?

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Analysts Corner

DECEMBER 21, 2022

Data Scientist — Job and Salary According to LinkedIn’s 2021 Report for Jobs on the Rise , hiring for data scientist and machine learning job roles increased by 46% and 32% respectively between 2019 and 2020. The demand for composite data analytics professionals will increase by 31% by 2030.

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Domo

MAY 30, 2024

By establishing a strong foundation, improving your data integrity and security, and fostering a data-quality culture, you can make sure your data is as ready for AI as you are. At first, your data set may have some of the right rows, some of the wrong ones, and some missing entirely.

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Analysts Corner

MARCH 9, 2023

For over three decades, Microsoft Excel has been an essential piece of business software, with around 86% of businesses using it for planning and budgeting (Cherry Solutions, 2022). Why do business and data analysis job roles not always explicitly mention Excel as required skill? Why is Excel a double-edged sword?

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Smart Data Collective

FEBRUARY 28, 2023

Deloitte discussed this new trend in a report titled “Tax data analytics A new era for tax planning and compliance.” ” Small businesses need to understand the role that data analytics plays in assisting with tax compliance. It is a good idea to make sure that your accountant is tech-savvy.

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Insight Software

AUGUST 28, 2023

Following success with Power ON, insightsoftware takes strategic evolution, growth, and product enhancements to the next level with software to extend visual planning and write-back solution capabilities to Qlik users RALEIGH, N.C. –

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The BAWorld

JULY 18, 2024

They use real-time data analysis to forecast future demand and plan inventory and price changes according to their competitors. However major challenges remain, including data quality and technology infrastructure issues alongside a shortage of expertise in the field and fears over privacy.

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Astera

AUGUST 22, 2024

For a successful merger, companies should make enterprise data management a core part of the due diligence phase. This provides a clear roadmap for addressing data quality issues, identifying integration challenges, and assessing the potential value of the target company’s data.

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Astera

JUNE 12, 2024

Data Governance establishes framework, policies, and processes for managing data assets within an organization. Focus Flow of data Origin and history of data Management and control of data assets Purpose Ensure data quality, traceability, and compliance. How was the data created?

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Astera

MAY 29, 2024

In healthcare, maintaining data quality during enrollment is crucial. Ensuring compliance to EDI standards with new partners takes time, and as partner numbers and data volumes grow, fast and accurate data communication is essential.

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Astera

APRIL 27, 2023

Whether you own a small business or are in the big leagues, knowing these data integration challenges your business may face, and their solutions will save you from avoidable losses. No Proper Data Integration Plan The issue most small and medium-sized businesses face is integrating large-scale data.

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Astera

FEBRUARY 28, 2024

Data Governance and Documentation Establishing and enforcing rules, policies, and standards for your data warehouse is the backbone of effective data governance and documentation. Keeping track of metadata can help you understand the data, facilitate data integration , enable data lineage tracing, and enhance data quality.

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Inflexion Analytics

MAY 22, 2024

This article explores the burgeoning significance of data analytics and reporting within law firms, highlighting their pivotal role in scrutinizing financial metrics, monitoring performance indicators, and leveraging predictive analytics to refine resource planning.

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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

MAY 20, 2024

Data provenance answers questions like: What is the source of this data? Who created this data? This information helps ensure data quality, transparency, and accountability. This proactive approach enhances the overall trust in the data and streamlines data validation processes.

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ElegantJ BI

NOVEMBER 25, 2019

If your business is planning to implement self service business intelligence, you may be focused on cascading data analysis and fact-based decision-making throughout the enterprise and, hopefully, your focus includes improving the data literacy of your business users and team members.

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ElegantJ BI

NOVEMBER 25, 2019

If your business is planning to implement self service business intelligence, you may be focused on cascading data analysis and fact-based decision-making throughout the enterprise and, hopefully, your focus includes improving the data literacy of your business users and team members.

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ElegantJ BI

NOVEMBER 25, 2019

If your business is planning to implement self service business intelligence, you may be focused on cascading data analysis and fact-based decision-making throughout the enterprise and, hopefully, your focus includes improving the data literacy of your business users and team members. Balance Data Quality vs. Popularity.

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Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs.

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BizAcuity

MARCH 29, 2019

For the data lake to be more effective, it is better to start with a business problem in mind, stay focused, and solve it and deliver results that can please the people on top. Have a game plan ready, for either hiring the people needed, or giving the existing people comprehensive training.

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Business Analysis Knowledge Share

OCTOBER 27, 2023

The Significance of Business Intelligence Business Intelligence is a multifaceted discipline that encompasses the tools, technologies, and processes for collecting, storing, and analyzing data to support informed decision-making. Data integration ensures that all necessary information is readily available for analysis.

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Insight Software

APRIL 9, 2023

This means finance is saddled with providing timely planning, forecasting, and reporting that informs business decisions in the moment. For financial planning and analysis and controllership, 50% and 44% said the same, respectively. Inability to Access Required Data. Lack of Resources. Lack of Skills in Team.

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Astera

OCTOBER 25, 2023

Data transformation is a process that can help them overcome these challenges by changing the structure and format of raw data to make it more suitable for analysis. This improves data quality and facilitates analysis, enabling them to leverage more effectively in decision making.

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Astera

MAY 25, 2023

To overcome these challenges, organizations can implement strong authentication and authorization measures to ensure that only authorized users can access data in Snowflake. Additionally, businesses can use data encryption to protect sensitive data. Cost Challenges Cost is another significant challenge in Snowflake migration.

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Dataversity

DECEMBER 7, 2021

Robert Seiner and Anthony Algmin faced off – in a virtual sense – at the DATAVERSITY® Enterprise Data World Conference to determine which is more important: Data Governance, Data Leadership, or Data Architecture. The post Data Governance, Data Leadership or Data Architecture: What Matters Most?

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Astera

AUGUST 16, 2024

McKinsey reports that inefficiencies in data migration cost enterprises 14% more than their planned spending. Let’s look at some reasons data migration projects fail: Risk of Data Integrity Loss Data quality maintenance is crucial to a smooth data migration process, especially when dealing with large volumes of data.

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Astera

JANUARY 23, 2024

Data vault goes a step further by preserving data in its original, unaltered state, thereby safeguarding the integrity and quality of data. Additionally, it allows users to apply further data quality rules and validations in the information layer, guaranteeing that data is perfectly suited for reporting and analysis.

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Astera

JANUARY 18, 2024

Fivetran is also not an ideal solution if you are looking for a complete enterprise-grade data management solution as it doesn’t support data governance or offer advanced capabilities to improve data quality. All you need to do is just drag and drop the transformations in the data flow designer.

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Dataversity

MARCH 22, 2021

We recently read reports about plans for Talend to be acquired by Thoma Bravo, a private equity investment firm. This announcement is interesting and causes some of us in the tech industry to step back and consider many of the factors involved in providing data technology […]. Click here to learn more about Heine Krog Iversen.

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Astera

MARCH 10, 2023

This alarming statistic highlights the importance of maintaining data quality in healthcare. As healthcare data volume increases, ensuring the accuracy and completeness of the information obtained has become a challenge. Duplicate data can lead to a waste of resources and negatively impact the quality of care.

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Dataversity

AUGUST 11, 2023

Data represents the lifeblood of any organization, whether gathered and analyzed for boosting sales, developing new marketing strategies, improving customer satisfaction, or long-range strategic planning. Key decision-makers would be lost without it.

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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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