Smart Data Collective

DECEMBER 21, 2022

Big data technology has helped businesses make more informed decisions. A growing number of companies are developing sophisticated business intelligence models, which wouldn’t be possible without intricate data storage infrastructures. One of the biggest issues pertains to data quality.

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Analysts Corner

FEBRUARY 5, 2023

Data Analysis (Image created using photo and elements in Canva) Evolution of data and big data Until the advent of computers, limited facts were collected and documented, given the cost and scarcity of resources and effort to capture, store, and maintain them. In other words, we have big data! Take care!

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BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Big Data Ecosystem.

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Smart Data Collective

FEBRUARY 28, 2023

This post will discuss five tips that will help ensure that your organization use analytics technology to meet all government regulations regarding taxes. Big Data Tools Make it Easier to Keep Records Newer tax management tools use sophisticated data analytics technology to help with tax compliance.

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Smart Data Collective

OCTOBER 29, 2023

Startups use data to move fast, stay agile, and keep ahead of the competition. Simply by turning vast amounts of data into smart business decisions. Consider drug manufacturers for example, where big data acts as their hidden ally. How do they do this?

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Dataversity

FEBRUARY 15, 2022

Good Data Governance is often the difference between an organization’s success and failure. And from a digital transformation standpoint, many view technologies like AI, robotics, and big data as being critical for helping companies and their boards to respond to events quicker than ever.

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Dataversity

NOVEMBER 8, 2022

The post Big Data, Big Responsibility appeared first on DATAVERSITY. However, if every company is a tech company, what has become of what we traditionally think of as technology companies? Just as every company has become reliant on technology […].

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Dataversity

FEBRUARY 10, 2023

The arrival of Web3 confirms our entry into an era of user-governed applications. This means developers must emphasize responsiveness and deliver on-demand data insights. Likewise, at the back end, they must build a sturdy testing environment that prepares the application for big data inflows.

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Data Pine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data.

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Dataversity

NOVEMBER 22, 2022

When big data began getting corporate attention in the late 2000s, the idea of data privacy was considered lavish and exotic. The public was less concerned about securing their data assets and was only fascinated by the fact that the interconnected digital world would change their lives forever.

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Domo

APRIL 28, 2022

“Big data” is the next big opportunity for businesses. The insights provided by big data—which is a combination of structured, semistructured, and unstructured data —allow business teams to solve complex problems, improve customer experience, and identify opportunities to increase sales and accelerate business growth.

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Astera

APRIL 10, 2023

The world of big data can unravel countless possibilities. From driving targeted marketing campaigns and optimizing production line logistics to helping healthcare professionals predict disease patterns, big data is powering the digital age. What is Big Data Integration? Why Does Big Data Integration Matter?

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Dataversity

AUGUST 16, 2023

The term “big data” is no longer the exclusive preserve of big companies. Businesses of all sizes increasingly see the benefits of being data-driven. Effective access to […] The post Building Resilient Data Ecosystems for Safeguarding Data Integrity and Security appeared first on DATAVERSITY.

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Smart Data Collective

APRIL 30, 2021

When your data can be recovered, easily searched, traced back to its origin, and easily connected with other resources, reusability and maintenance become easy. With standardized, well-governed, and connected data, it’s easy to ensure quality outputs consistently. Ensure consistency. Improve decision making.

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Dataversity

JANUARY 6, 2021

We live in an era of big data. Amazingly, statistics show that around 90 percent of this data is only two years old. However, Data Management and structuring are notoriously complex. […]. The post The Need for Flexible Data Management: Why Is Data Flexibility So Important?

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Business Analysis Knowledge Share

MARCH 15, 2023

In recent years, there has been a growing interest in NoSQL databases, which are designed to handle large volumes of unstructured or semi-structured data. These databases are often used in big data applications, where traditional relational databases may not be able to handle the scale and complexity of the data.

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Dataversity

OCTOBER 21, 2022

A decade back, when the big data trend began, the mantra was to collect more and more data — then glean insights from it to better understand consumer behavior, market trends, and demand. The post Why Just Collecting More and More Data Is No Longer Productive appeared first on DATAVERSITY.

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Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

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Dataversity

SEPTEMBER 1, 2023

No matter what industry you work in, Data Management is increasingly important for your career and performance. Information is no longer separate bits of data – the internet of things (IoT) and big data mean that every piece of data is interconnected.

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Dataversity

OCTOBER 4, 2021

In 2013, the big data headline was the incredible statistic that 90% of all data in the history of the entire human race had been created in the previous two years. The amount of structured and unstructured data we’ve created was so mind-boggling that we deemed it […]. Click to learn more about author Gary Lyng.

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Dataversity

APRIL 10, 2023

Like an invisible virus, “dirty data” plagues today’s business world. That is to say, inaccurate, incomplete, and inconsistent data is proliferating in today’s “big data”-centric world. Working with dirty data costs companies millions of dollars annually.

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Dataversity

AUGUST 26, 2022

Businesses that realize the value of their data and make the effort to utilize it to its greatest potential are quickly outcompeting those that do not. But like any complex system, the architectures that utilize big data must be carefully managed and supported to produce optimal outcomes.

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Astera

DECEMBER 16, 2024

Pricing Model Issues: Several users have also complained that the solution is too expensive for big data syncs, while others consider it unpredictable because the pricing is dependent on the volume of data (i.e., Similarly, real-time pipelines may still depend on periodic batch processes for certain operations.

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The BAWorld

MAY 25, 2024

And this is when, there is a need for responsible data management, especially when we have Artificial Intelligence (AI) Back in the 2010s, the focus of organizations in different industries was to collect huge amounts of big data. Data governance is quite critical due to privacy regulations and GenAI.

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Astera

JANUARY 2, 2024

Securing Data: Protecting data from unauthorized access or loss is a critical aspect of data management which involves implementing security measures such as encryption, access controls, and regular audits. Organizations must also establish policies and procedures to ensure data quality and compliance.

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Data Pine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

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Astera

MARCH 20, 2024

Enterprise data management (EDM) is a holistic approach to inventorying, handling, and governing your organization’s data across its entire lifecycle to drive decision-making and achieve business goals. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

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Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Today, big data is about business disruption.

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Data Pine

MAY 31, 2022

Since we live in a digital age, where data discovery and big data simply surpass the traditional storage and manual implementation and manipulation of business information, companies are searching for the best possible solution for handling data. Governance/Control. It is evident that the cloud is expanding.

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Astera

SEPTEMBER 25, 2024

With Astera, users can: Extract data from PDFs using our LLM-powered solution. Cleanse and validate Integrate data from CRMs, databases, EDI files, and APIs. Load data to various cloud data warehouses and lakes. Govern their data assets. AI-powered data mapping. Data validation checks to flag errors.

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GAVS Technology

JUNE 2, 2021

Data fabric platforms should also focus on data sharing, not within the enterprise but also across enterprise. While focus on API management helps with data sharing, this functionality has to be enhanced further as data sharing also needs to take care of privacy and other data governance needs. Data Lakes.

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Astera

FEBRUARY 16, 2024

It facilitates the seamless collection, consolidation, and transformation of data from diverse sources and systems into a unified and standardized format. The advantages of this integration extend beyond mere organization; it significantly improves data quality and accuracy.

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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

NOVEMBER 16, 2022

Understand and assess potential data quality challenges in a hybrid cloud environment. Implement proper data validation rules and policies to ensure data accuracy and completeness. Evaluate the location of your data. Automation will help you save time and costs as well as undertake big data initiatives.

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Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

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Business Analysis Hub

AUGUST 22, 2023

Ensure data quality and governance: AI relies heavily on data. Ensure you have high-quality data and robust data governance practices in place. Invest in the right AI technology: The market is flooded with a myriad of AI tools and solutions.

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Astera

JUNE 6, 2023

ETL architectures have become a crucial solution for managing and processing large volumes of data efficiently, addressing the challenges faced by organizations in the era of big data. Technology Selection: Choose suitable tools and technologies based on data volume, processing needs, compatibility, and cloud options.

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