Astera

MAY 13, 2024

Data aggregation is the process of combining and summarizing data from disparate sources into a cohesive dataset. It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Understanding Data Aggregation What is Data Aggregation?

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Supply Chain E-Commerce Healthcare Data Quality 52

Astera

SEPTEMBER 4, 2023

Every day, we hear news about data getting hacked or lost. Imagine losing data in this era where everything is dependent on it. That’s why investing in good data replication software is important to back up your data. Well, that’s just one example of a data replication use case. CAGR through 2026.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Insight Software

SEPTEMBER 1, 2023

In many companies, this is largely due to the legacy manual processes unpinning year-end disclosures. Siloed Narratives: Users have multiple systems of record for narrative content, so the data must be manually distributed and is not synchronized across platforms and documents associated with the year-end reporting cycle.

IBM Maintenance 52

IBM Maintenance Supply Chain Finance IBM Support 52

Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. What is a Data Warehouse?

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Insight Software

APRIL 4, 2024

From a technical perspective, that has required a delicate balancing act, managing tradeoffs between the old and the new. To accomplish the key technical objectives that contribute to connected data, increased agility, and greater profitability, there comes a point when business leaders must make a clean break with the past.

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IBM Maintenance IBM cost IBM Support Supply Chain 52

Sisense

JANUARY 13, 2021

In Navigating Change in Crisis , we explore how individuals and companies are adapting to a “new normal.” During that time, they’ve faced challenges both expected (data volumes growing as the business grew) and not (a UK-wide lockdown, in addition to various temporary store closures). The problem: Too much data, too little insight.

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Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, It supersedes Data Vault 1.0,

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

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

Astera

DECEMBER 16, 2022

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them.

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Astera

DECEMBER 16, 2022

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. Let’s explore the 7 data management challenges that tech companies face and how to overcome them.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

Businesses operating in the tech industry are among the most significant data recipients. The rise of big data has sharply raised the volume of data that needs to be gathered, processed, and analyzed. These large data volumes present numerous challenges for companies, especially those with outdated data management systems.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Insight Software

MARCH 4, 2024

The first wave of companies currently falls under the microscope in 2025. While there is talk of the first filing being delayed until 2026, this still only leaves limited time to build robust systems and processes for gathering, verifying, and reporting comprehensive ESG data.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM Expert 52

Astera

JANUARY 24, 2024

What is Change Data Capture? Change Data Capture (CDC) is a technique used in data management to identify and track changes made to data in a database, and applying those changes to the target system. Below is the step-by-step explanation on how change data capture typically works.

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The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. A classification model distinguishes among two or more discrete values or separates data into different classes, like whether an email is a spam or not, will the customer pay his loan on time or not. Also, see data visualization.

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Astera

OCTOBER 31, 2023

An ETL pipeline is a type of data pipeline that includes the ETL process to move data. At its core, it is a set of processes and tools that enables businesses to extract raw data from multiple source systems, transform it to fit their needs, and load it into a destination system for various data-driven initiatives.

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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.

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

Astera

MARCH 16, 2023

For a long time, databases have been the go-to avenue for companies to store and access data. However, with the rise of big data, businesses of all sizes are rapidly adopting cloud data lakes as a cheaper yet highly scalable alternative storage solution. What is Azure Data Lake? What is Oracle Database?

Big Data 52

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Insight Software

OCTOBER 26, 2023

Reporting teams need to go beyond native reporting with deeper, flexible analysis of their data. Without the right control, they struggle with inflexible report layouts and spend days dumping data into spreadsheets, limiting the available time to focus on value-added analysis. For these teams, data quality is critical.

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IBM Maintenance Data Quality IBM cost IBM Support 52

Insight Software

JANUARY 30, 2024

Candidates crave a deeper connection to their companies, a sense of ownership in their work beyond just a paycheck. With inflation squeezing payrolls and traditional stock options losing their luster, ESPPs provide a tangible opportunity for employees to share in company success and hedge against financial uncertainties.

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IBM Support IBM Expert IBM Maintenance IBM cost 52

Sisense

MAY 28, 2020

In the Clouds is where we explore the ways cloud-native architecture, cloud data storage, and cloud analytics are changing key industries and business practices, with anecdotes from experts, how-to’s, and more to help your company excel in the cloud era. The world of data is constantly changing and speeding up every day.

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Real-time Data Digital Data Warehouse Big Data 83

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. 10) Data Quality Solutions: Key Attributes.

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Astera

AUGUST 8, 2023

While data volume is increasing at an unprecedented rate today, more data doesnt always translate into better insights. What matters is how accurate, complete and reliable that data. Data quality tools make it easier for you to deal with the challenges of moder data: volume and velocity.

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Sisense

MAY 31, 2020

Recognition from the customers who participated in the study reflects the premium we place not only on delivering a powerful analytics platform that distributes insights to everyone, but the way we engage with and support our customers. Customer obsession is part of who we are. When we partner, we all win. Building a partnership.

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Sisense

JANUARY 6, 2020

Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. This process helps sales managers manage and invest in their team and anticipate opportunities that lead to exceeding revenue goals.

Data Modelling 91

Data Modelling Data Warehouse Logistics Customer Experience 91

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. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 105

Big Data Data Analytics Data Analytics IBM Maintenance 105

Data Pine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry.

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Business Intelligence Business Intelligence Data Visualization Visualization 95

Sisense

APRIL 22, 2021

While analytics has grown up, the benefits of this evolution are not evenly distributed across every industry. While analytics has grown up, the benefits of this evolution are not evenly distributed across every industry. Take, for instance, facilities management (FM). How Eric Wright FM uses data and analytics.

Data Warehouse 52

Data Warehouse Real-time Data Planning Data Security 52

Domo

SEPTEMBER 27, 2021

As someone whose role at Domo is to provide data governance advice to the company’s largest customers, I have lots of conversations with IT leaders about data lakes. At its core, a data lake is a centralized repository that stores all of an organization’s data. Overcoming data lake disadvantages.

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Sisense

APRIL 1, 2020

As a data and analytics company, we are doubling down on doing everything possible to help enable both those on the front lines who fight this crisis directly and those impacted by it across so many important industries, from small businesses to Fortune 100 companies. Together, we face a truly unprecedented situation.

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Supply Chain Healthcare Cybersecurity Data Warehouse 52

Insight Software

MARCH 29, 2022

In this blog post, learn how you can optimize NetSuite for accounting and finance users and expand its reporting capabilities for deeper insights. Automate Data Collection and Imports. Often, IT teams pull specific data from the ERP and import it manually into Microsoft Excel. Combine Data From Multiple Platforms.

Finance 52

Finance IBM Maintenance IBM Support Supply Chain 52

Data Pine

OCTOBER 7, 2020

Using data in today’s businesses is crucial to evaluate success and gather insights needed for a sustainable company. Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals.

Logistics 107

Logistics Monitoring Visualization Retail 107

Actian

JANUARY 25, 2019

2018 was a year of solid growth and progress for Actian, with many announcements and company highlights – including a major acquisition, a proprietary event, product innovations and much more! Hybrid Data Conference. HCL acquisition. Actian Vector. Keep an eye out for updates on 2019 events in the pipeline!

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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 Analytics Data Analytics Data Visualization Visualization 52

Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Conceptually, it is easy to understand why you would want to move to a cloud data warehouse.

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Data Warehouse Vision Digital Transformation Data Security 8

Smart Data Collective

JUNE 6, 2021

Running a business can be tricky if you fail to implement the correct business management tools. If your company deals with hundreds or thousands of customers, optimal productivity, budgeting and customer satisfaction should be at the top of your priority list. What is big data? What is big data used for?

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