Juice Analytics

MARCH 11, 2021

Part 2: Development If “ Data is the Bacon of Business ” (TM), then customer reporting is the Wendy’s Baconator. In a recent blog post , we described the differences between customer reporting and data products. Those differences result in some very different functional requirements.

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Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications.

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Sisense

AUGUST 11, 2019

The sheer quantity and scope of data produced and stored by your company can make it incredibly hard to peer through the number-fog to pick out the details you need. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal.

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Marutitech

DECEMBER 17, 2021

In that case, the predictive analytics model for your company will be different from the prediction model used in the hospitals for analyzing the behavior of the patients after certain medical operations. . What is predictive data modeling? Which predictive analytics algorithms are most helpful for them?

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The BAWorld

APRIL 11, 2022

There’s never been a better time to broaden your data analytics knowledge. Still, if you’re considering getting a data analyst certifications, you’ll want to know if it’s worth it. But which data analytics qualifications are the best? Convert business needs into data requirements.

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Sisense

FEBRUARY 10, 2021

In order to do this, my team uses data to identify problem areas and potential issues for our customers (ideally before they happen). This presented the first challenge for our product team in building Cascade Insight: What is the data that is most important to capture? The right data, the right platform, the right partner.

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Astera

DECEMBER 21, 2022

Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance. Fortunately for forward-thinking organizations, cloud data warehousing solves many of these problems and makes leveraging insights quick and easy. What is a Cloud Data Warehouse?

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Astera

SEPTEMBER 4, 2024

Data mesh was first presented as a concept by Zhamak Dehghani in 2019. It is a domain-oriented data architecture approach to decentralizing data analytics. Data mesh ensures the timely availability of data analytics to multiple teams, eliminating siloed data in the process.

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Astera

JULY 18, 2023

They enable data professionals to clean, transform, and organize raw data efficiently, saving countless hours of manual work while ensuring data quality and consistency. In this blog, we will explore the benefits of data wrangling tools and the top contenders in the market.

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Astera

MARCH 11, 2024

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

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Astera

FEBRUARY 7, 2024

Speedy data transfer proves crucial when real-time data delivery is needed, particularly for prompt decision-making. Streamlined Data Analytics With zero-ETL, it’s possible to access and analyze data as it flows.

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Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures.

Data Mining 52

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The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Learn these to develop competency in Business Analytics. Data Analytics Terms & Fundamentals. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms. Also, see data visualization.

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Astera

OCTOBER 27, 2023

Here are more benefits of a cloud data warehouse: Enhanced Accessibility Cloud data warehouses allow access to relevant data from anywhere in the world. What’s more, they come with access control features to ensure that the data required for BI is only visible to the relevant personnel.

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Data Pine

OCTOBER 30, 2019

But let’s get into the basics in more detail, and afterward, we will explore data reporting examples that you can use for your own internal processes and more. Data Reporting Basics. Data analytics is the science of examining raw data with the purpose of drawing conclusions about that information.

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Astera

OCTOBER 19, 2023

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

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Astera

DECEMBER 21, 2022

Across all sectors, success in the era of Big Data requires robust management of a huge amount of data from multiple sources. Whether you are running a video chat app, an outbound contact center, or a legal firm, you will face challenges in keeping track of overwhelming data. Analytics .

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Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

The BAWorld

APRIL 27, 2021

How are the Data Analytics projects executed? In this article, I am going to discuss and explain Data Analytics Projects Life Cycle. Over the last two years alone, 90 percent of the data in the world was generated! Looking at the sheer volume of data generated every minute across the globe can be mind-boggling.

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Data Pine

NOVEMBER 27, 2019

We have mentioned the importance of data-driven decision making in businesses, but next year, creating a data-driven culture in the whole organization will be one of the top priorities for BI professionals and business managers – one of the trends in data analytics that will certainly be most discussed.

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Astera

APRIL 24, 2024

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? Zoho Analytics Zoho Analytics offers a platform for data analytics and aggregation.

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Sisense

SEPTEMBER 3, 2020

Implementing analytics at your company is a multi-team job. In Building Bridges , we focus on helping end-users, app builders, and data experts select and roll out analytics platforms easily and efficiently. The head of our content acquisition team, a major data consumer, was unsure about our switch. Jennah says.

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