Smart Data Collective

FEBRUARY 28, 2022

A growing number of banks, insurance companies, investment management firms and other financial institutions are finding creative ways to leverage big data technology. The market size for financial analytics services is currently worth over $25 billion. Fortunately, big data is also a boon for cybersecurity as well.

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Astera

SEPTEMBER 4, 2023

This article navigates through the top 7 data replication software available in the market and explains their pros and cons so you can choose the right one. The Importance of Data Replication Software Data replication involves creating and maintaining multiple copies of crucial data across different systems or locations.

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Smart Data Collective

FEBRUARY 2, 2021

However, some industries have more to benefit from Big Data than others and have reached impressive milestones because data science and data analytics have helped them streamline their operations. The implementation of Big Data has huge potential in the healthcare industry , and the past few years are only the beginning.

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Marutitech

MARCH 10, 2022

With the expanding pace of digital changes in business, most analysts are increasingly asking, “What more can we do with data to assist business decisions?” ” Thankfully, there is predictive analytics. Adopting data analytics solutions is a significant milestone in the development and success of any business.

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Analysts Corner

JUNE 18, 2023

Data Volume Organizations with large volumes of data may benefit from ELT, as it can provide better performance and scalability by leveraging the processing power of modern data platforms. However, organizations can still implement data quality measures within an ELT process if necessary.

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The BAWorld

SEPTEMBER 27, 2024

How data modeling concepts impact analytics? What is the process for Data Modelling? What are the different Data Modelling tools? Learn other data analyst skills in our TechCanvass’s Data Analytics course. What is Data Modeling? For Data Analytics, Data Modeling is the architectural backbone!

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Whizlabs

APRIL 19, 2021

Rick is a well experienced CTO who can offer cloud computing strategies and services to reduce IT operational costs and thus improve the efficiency. He guest blogs at Oracle, IBM, HP, SAP, SAGE, Huawei, Commvault, Equinix, Cloudtech. Gordon Davey – Cloud Services Global Business Owner at SoftwareONE.

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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 analytics certification, you’ll want to know if it’s worth it. But which data analytics qualifications are the best? Skills Required to Become a Data Analyst.

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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? Skills Required to Become a Data Analyst.

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Whizlabs

JUNE 14, 2021

Advanced Analytics Professional. IBM Big Data Certifications. IBM Certified Data Engineer – Big Data. IBM Certified Data Architect – Big Data. Cloudera is one of the top companies that provide enterprise data cloud products, tools, and services. mv/tmp/spooldir/bb/.bb.txt

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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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Sisense

JUNE 25, 2020

Invest in data, invest in your company. It’s no coincidence that this recent growth has come alongside a huge investment in data analytics. Becoming data-driven has always been about more than just convenience, and ‘how do we sell more product?’ Jon Francis, SVP Data Analytics, Starbucks.

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Leading Agile

SEPTEMBER 12, 2018

Key bindings are useful, but they aren’t always consistent across IDEs, including IDEs offered by the same vendor (JetBrains comes to mind), and they can conflict with OS key bindings as well as presenting challenges for external keyboards that don’t have all possible keys. Some languages benefit from IDE support.

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Data Pine

MARCH 31, 2022

For instance, you could be the “self-service BI” person in addition to being the system admin. Getting an entry-level position at a consulting firm is also a great idea – the big ones include IBM, Accenture, Deloitte, KPMG, and Ernst and Young. A Wealth Of Job Openings And Compensation. A well-crafted business intelligence resume.

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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

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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

AUGUST 28, 2024

However, with the abundance of different types of data analysis tools in the market, what was supposed to be a simple task has become a complex undertaking. This article aims to simplify the process of finding the data analytics platform that meets your organization’s specific needs.

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Inflexion Analytics

MAY 1, 2024

This dynamic shift underscores a vital reality for today’s business leaders: the tools and strategies we employ for data analysis can profoundly influence our companies’ future trajectories. This shift accelerates decision-making processes and fosters a culture of data-driven innovation across the organization.

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Data Pine

DECEMBER 4, 2019

Nevertheless, predictive analytics has been steadily building itself into a true self-service capability used by business users that want to know what future holds and create more sustainable data-driven decision-making processes throughout business operations, and 2020 will bring more demand and usage of its features.

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Leading Agile

AUGUST 20, 2018

It ended up costing them about 4,000 pounds and was implemented in one month. People take a tool that can support Specification by Example and the first thing they do is try to write executable scripts. built-in and verifiable support for well-known security considerations. They followed the advice. But what are they scripting?

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Astera

APRIL 10, 2023

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. This highlights the growing significance of managing data effectively. According to a recent study by IBM , the average cost of a data breach is $4.85

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Insight Software

MAY 1, 2023

Embedded analytics are a set of capabilities that are tightly integrated into existing applications (like your CRM, ERP, financial systems, and/or information portals) that bring additional awareness, context, or analytic capability to support business decision-making. Financial Services represent 13.0

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Insight Software

SEPTEMBER 25, 2024

To effectively fulfill this role, analytics systems must possess a high degree of flexibility and scalability, seamlessly integrating with diverse applications and data sources. As a software vendor, providing your customers with a robust and adaptable analytics platform is crucial for maintaining a competitive edge.

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Insight Software

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately.

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Insight Software

OCTOBER 21, 2022

Virtually everyone, including those experienced number-crunchers, prefer a more meaningful presentation of the data and what it represents. They want their applications to connect the dots between the raw data maintained within their software systems and the actual meaning behind that information.

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Insight Software

MARCH 23, 2023

Self-service’ capabilities like Self-Service BI are the manifestation of this expectation within many technologies. Organizations are promised a ‘one size fits all’ tool that will allow users to ‘drag n drop’ their way to data fluency. Put simply, ‘self-service’ relates to true autonomy.

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Insight Software

JUNE 13, 2022

Questions to consider are: How much data do you need to import? Are those customizations already supported by Dynamics 365? What third-party services need to be integrated? When migrating to the cloud, there are a variety of different approaches you can take to maintain your data strategy.

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Insight Software

OCTOBER 24, 2022

In this article, we’ll address the various ways that software companies (including SaaS vendors) can build analytics into their products. Using third-party libraries also creates some challenges with respect to security, which must be implemented separately for each UI component.

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Insight Software

JULY 16, 2024

Apache Iceberg is an open table format for huge analytic datasets designed to bring high-performance ACID (Atomicity, Consistency, Isolation, and Durability) transactions to big data. It provides a stable schema, supports complex data transformations, and ensures atomic operations. What is Apache Iceberg?

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Insight Software

JULY 14, 2022

Business cash flow planning or management lets you make sure your business has enough money to maintain its operations. Cash flows from operations (CFO), also known as operating cash flows, entails cash flows that occur directly from the normal course of your business, such as when you sell goods or services. Accounts Receivable (AR).

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Insight Software

OCTOBER 1, 2024

It directly queries structured and semi-structured data from data lakes , enabling operational dashboards and real-time analytics without the need for preprocessing. This supports faster decision-making without the bottlenecks of traditional ETL. Get a Demo Facing Data Connectivity Challenges?

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Insight Software

JUNE 20, 2023

Self-service analytics has been  a leading priority  in the business intelligence (BI) space for years and is likely here to stay. With data-driven culture on the rise, analytics is no longer just for IT teams and data scientists. What Is Self-Service Analytics?

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Insight Software

AUGUST 27, 2021

For the reasons described earlier, Microsoft closed off customers’ ability to directly access the underlying ERP data using SQL database queries, opting instead to publish a dedicated set of web services APIs (application programming interfaces) that would allow programmatic access to the data.

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Insight Software

AUGUST 24, 2022

Enable Self-Service Reporting and Analysis With Real-Time Data. Leveraging tech tools that enable business users to generate reports using real-time data pulled from multiple existing systems helps to reduce reliance on IT. Case study: kolb Automates Financial Processes to Reduce Load on IT. Read the Full Kolb Case Study.

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Insight Software

DECEMBER 22, 2022

The need to create consolidated reporting and analytics that handle all your Oracle ERP instances is a challenge your enterprise faces in many circumstances, but none as important as during cloud migration. a corporation of complementary business units that design, manufacture, distribute, and service engines and related technologies. Headquartered

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Insight Software

JANUARY 5, 2023

First introduced as NoetixViews, Standard Views simplified access to data because they were automatically configured to support customer-specific setups, including key and descriptive flexfields. Rapid Implementation: Fast installations and regenerations mean rapid deployment of upgrades, enhancements, and customizations.

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Insight Software

FEBRUARY 5, 2024

Additionally, inefficient dashboards and analytics hinder visibility into resource consumption patterns, making it difficult to pinpoint energy-intensive processes and implement resource-efficient measures. Flawed calculations can underestimate or overestimate emissions, obscuring your true environmental impact.

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