Dataversity

MAY 14, 2021

For many enterprises, conversations regarding data strategies have shifted from discussing big data to fast data. The ability to understand and act on real-time data insights – often adding the context from historical data – has become a critical differentiator for firms in almost every industry sector […].

Real-time Data 130

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BizAcuity

APRIL 19, 2019

Rooted in a comprehensive and proactive approach to real-time data analytics we aggregated player lifetime and frequency metrics and computed them to predict and analyse problem gaming behaviours or trends in players.

Data Mining 189

Data Mining Real-time Data Data Analytics Data Analytics 189

Astera

FEBRUARY 14, 2024

This blog is part one of two, focusing on how to process car insurance claims using data. We’ll discuss the importance of using data analytics and technology in the insurance industry and the benefits it brings.

Documentation 52

Documentation Digital Transformation Digital Real-time Data 52

Domo

AUGUST 18, 2017

By working with a real-time data platform like the Domo business cloud , sales organizations can get the information they need to confidently predict whether they will hit their targets. Here are three ways better data analytics can make your sales team more effective than ever before: 1. Click here to see a demo.

Real-time Data 52

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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.

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Domo

MARCH 22, 2017

Business stakeholders are increasingly demanding information quicker or in “real time” and in a manner that is easily consumable, to enable them to optimise business outcomes. Demands for access to ‘real time’ data is being coupled with the increasing complexity within businesses.

Real-time Data 52

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Astera

OCTOBER 19, 2023

Once satisfied, easily export the organized data to various formats or integrate it with downstream systems for analysis, visualization, or consumption with just a few clicks. Talend connects to various data sources such as databases, CRM systems, FTP servers, and files, enabling data consolidation.

IBM Support 40

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Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Getting your streaming data to work for you.

Supply Chain 98

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Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. The application of big data analytics in healthcare has a lot of positive and also life-saving outcomes. 3) Real-Time Alerting.

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

Sisense

JULY 8, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. From ETL to ELT and beyond.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Data Pine

JUNE 5, 2019

When presenting data and communicating insights, it is important to create a dialogue – no one likes being preached throughout a whole presentation. However, when it comes to data analytics, a modern dashboard consolidates all critical insights from various data sources through data connectors , and presents it in a dynamic visual format.

Logistics 126

Logistics Visualization Data Visualization Digital 126

Sisense

OCTOBER 29, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive.

Artificial Intelligence 90

Artificial Intelligence Cybersecurity Data Analytics Data Analytics 90

Astera

APRIL 28, 2023

To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline their data warehousing processes and improve the accuracy of their insights. AI is a powerful tool that goes beyond traditional data analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Whizlabs

DECEMBER 16, 2020

Splunk is proprietary software that provides a web-based interface for searching, monitoring, and evaluating machine-based big data. It performs different functions, such as collecting, indexing, and correlating real-time data in a container that has searchable properties. Also Read: Why Big Data Analytics is Important?

Big Data 91

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Data Pine

MARCH 8, 2021

By doing so, a healthcare institution can give their patients tailored advice on how they can maintain a healthy lifestyle based on their medical data and biometric vitals. Dynamic, real-time data can also provide patient alerts if someone is under your care and at risk of a potentially harmful or fatal event.

Healthcare 79

Healthcare Predictive Analytics Monitoring Digital 79

Astera

DECEMBER 21, 2022

In simple terms, data extraction is the process of extracting and gathering data from semi-structured and unstructured sources, such as emails, PDF documents, PDF forms, text files, social media, barcodes, and images. How is unstructured data extraction done? Real-Time Data Extraction for Big Data Analysis.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Data Pine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Data Pine

NOVEMBER 5, 2019

All areas of your modern-day business – from supply chain success to improved reporting processes and communications, interdepartmental collaboration, and general organization innovation – can benefit significantly from the use of analytics, structured into a live dashboard that can improve your data management efforts.

Monitoring 88

Monitoring Visualization Big Data Chief Data Officer 88

Domo

JANUARY 26, 2024

To start, get to know some key terms: Snowflake: The centralized source of truth for our initial data Magic ETL: Domo’s tool for combining and preparing data tables ERP: A supplemental data source from Salesforce Geographic: A supplemental data source (i.e., Instagram) Why Snowflake?

Data Management 139

Data Management Documentation Real-time Data Data Analytics 139

Astera

APRIL 24, 2024

Data ingestion is important in collecting and transferring data from various sources to storage or processing systems. In this blog, we compare the best data ingestion tools available in the market in 2024. What is Data Ingestion? It offers very limited data extraction sources.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Inflexion Analytics

JULY 23, 2021

With predictive analytics, a type of statistical modelling, you can use the real-time data collected from fields and combine it with data from the past to predict what currently is happening and what is going to happen. But falling costs means that data and analytics tools will soon be accessible to the many.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. of all data is currently analyzed and used. click for book source**.

Business Intelligence 117

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Domo

MAY 24, 2021

To understand how to get there, let’s first look at why it’s been so complicated to leverage all your data. Your company likely has data integrations and pipelines in place to support using data analytics to answer business questions, discover relationships and correlations, and predict outcomes across key areas of your business.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

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. Offering a no-code data pipeline platform, Integrate.io

Data Warehouse 52

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Data Pine

APRIL 3, 2020

The digestible visual displays associated with call center reporting not only help to simplify analysis, thereby significantly reducing data consumption time – but the interactive nature of these reports empowers users to extract invaluable real-time data with ease. Primary KPIs. Customer Satisfaction.

Visualization 80

Visualization Digital Data Visualization Real-time Data 80

Data Pine

JANUARY 21, 2020

Another crucial factor to consider is the possibility to utilize real-time data. The customizable nature of modern data analytic stools means that it’s possible to create dashboards that suit your exact needs, goals, and preferences, improving the senior decision-making process significantly.

Business Intelligence 103

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Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

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

Astera

SEPTEMBER 4, 2023

This scalability is particularly beneficial for growing businesses that experience increasing data traffic. Enable Real-time Analytics: Data replication tools continuously synchronize data across all systems, ensuring that analytics tools always work with real-time data.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Smart Data Collective

JUNE 6, 2021

While you may think that you understand the desires of your customers and the growth rate of your company, data-driven decision making is considered a more effective way to reach your goals. The use of big data analytics is, therefore, worth considering—as well as the services that have come from this concept, such as Google BigQuery.

Big Data 335

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Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

However, with massive volumes of data flowing into organizations from different sources and formats, it becomes a daunting task for enterprises to manage their data. That’s what makes Enterprise Data Architecture so important since it provides a framework for managing big data in large enterprises.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Sisense

JUNE 9, 2021

Here at Sisense, we’re particularly excited because the tournament is more than just a festival of skill and athleticism; it’s a clash of analytics insights. Plus, modern data storage on the cloud gives teams the ability to collect and mash up the vast volume of data points from these devices.

Predictive Analytics 98

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Astera

OCTOBER 27, 2023

Data Ingestion Layer: The data journey in a cloud data warehouse begins with the data ingestion layer, which is responsible for seamlessly collecting and importing data. This layer often employs ETL processes to ensure that the data is transformed and formatted for optimal storage and analysis.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

AUGUST 8, 2023

Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity. Using these tools, you can easily automate your data quality measures and ensure you consistently get reliable insights. You can visualize and explore data intuitively for accuracy and consistency.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Actian

AUGUST 27, 2019

Last week we announced the findings of the Actian Datacast 2019: Hybrid Data Trends Snapshot , sharing insights into the current challenges as well as opportunities for data-driven enterprises around managing hybrid data environments. Data complexity creates a barrier to entry here, though.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Actian

AUGUST 27, 2019

Last week we announced the findings of the Actian Datacast 2019: Hybrid Data Trends Snapshot , sharing insights into the current challenges as well as opportunities for data-driven enterprises around managing hybrid data environments. Data complexity creates a barrier to entry here, though.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

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