Smart Data Collective

FEBRUARY 20, 2022

Since databases store companies’ valuable digital assets and corporate secrets, they are on the receiving end of quite a few cyber-attack vectors these days. What are the ties between DAM and data loss prevention (DLP) systems? How can database activity monitoring (DAM) tools help avoid these threats? Stopping insiders in their tracks.

Monitoring 325

Monitoring E-Commerce Data Warehouse Data Security 325

Astera

DECEMBER 24, 2024

Businesses send and receive several invoices and payment receipts in digital formats, such as scanned PDFs, text documents, or Excel files. They usually hire data entry specialists who copy data from each invoice to an Excel sheet. The invoices are mostly formatted as unstructured PDF files.

Documentation 52

Documentation Artificial Intelligence Data Warehouse Digital 52

Domo

JANUARY 7, 2025

Our AI agents dont just work as tools for simple tasks; they are your organizations digital dream team. These specialized digital experts are designed to proactively solve problems on your behalf. They understand your nuanced metrics, your documents, and your unique business context. These agents understand your business DNA.

IBM Support 75

IBM Support IBM Maintenance Artificial Intelligence Data Warehouse 75

Astera

FEBRUARY 28, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. The process enables businesses to unlock valuable information hidden within unstructured documents.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Sisense

JULY 22, 2020

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

Digital Transformation 98

Digital Transformation Data Warehouse IBM Support IBM cost 98

Actian

JULY 31, 2019

Primarily, Relational DataBase Management Systems (RDBMS) managed the needs of these systems and eventually evolved into data warehouses, storing and administering Online Analytical Processing (OLAP) for historical data analysis from various companies, such as Teradata, IBM, SAP, and Oracle.

IBM Support 8

IBM Support Documentation IBM Maintenance Data Warehouse 8

Sisense

APRIL 7, 2020

In addition, this data lives in so many places that it can be hard to derive meaningful insights from it all. This is where analytics and data platforms come in: these systems, especially cloud-native Sisense, pull in data from wherever it’s stored ( Google BigQuery data warehouse , Snowflake , Redshift , etc.).

Big Data 86

Big Data Data Warehouse Product Management Product Management 86

Sisense

APRIL 26, 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. Structured vs unstructured data.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

JUNE 3, 2024

These databases are suitable for managing semi-structured or unstructured data. Types of NoSQL databases include document stores such as MongoDB, key-value stores such as Redis, and column-family stores such as Cassandra. These databases are ideal for big data applications, real-time web applications, and distributed systems.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

FEBRUARY 9, 2024

Data Loading The IT team configures a secure connection to BankX’s data warehouse using Astera’s Data Connectors. Astera has native connectors for various data warehouses, such as Amazon Redshift, Google BigQuery, or Snowflake, and can also load data into other destinations, such as files, databases, etc.

Data Warehouse 52

Data Warehouse Data Quality Data Security Monitoring 52

Astera

DECEMBER 16, 2022

Data collection has increased vastly due to the growing digitalization of information. IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 16, 2022

Data collection has increased vastly due to the growing digitalization of information. IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

DECEMBER 2, 2022

Data collection has increased vastly due to the growing digitalization of information. IoT systems are another significant driver of Big Data. Many businesses move their data to the cloud to overcome this problem. Cloud-based data warehouses are becoming increasingly popular for storing large amounts of data.

Data Management 52

Data Management Data Warehouse Big Data Procurement 52

Astera

FEBRUARY 9, 2024

Data Loading Once you’ve have ensured data quality, you must configure a secure connection to the bank’s data warehouse using Astera’s Data Connectors. Astera’s Data Destinations can be critical in setting up the credit risk assessment pipelines. Transformation features.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

Astera

FEBRUARY 20, 2023

Data Privacy and Security Medical providers face significant data privacy and security challenges when integrating healthcare data. Patient health information is highly sensitive and requires robust protection from unauthorized access and data breaches.

Healthcare 52

Healthcare Data Warehouse Data Mining Data Quality 52

Astera

JUNE 14, 2023

Enterprises deal with a high volume of documents daily, such as invoices and purchase orders. Data capture lets businesses extract valuable information from these unstructured documents for informed decision making. In this blog, we explore data capture and how it has evolved over time. What is Data Capture?

Documentation 40

Documentation Digital Visualization Data Warehouse 40

Astera

DECEMBER 21, 2022

A research study shows that businesses that engage in data-driven decision-making experience 5 to 6 percent growth in their productivity. These data extraction tools are now a necessity for majority organizations. Extract Data from Unstructured Documents with ReportMiner. What is Data Extraction?

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Data Pine

SEPTEMBER 29, 2022

Engineered to be the “Swiss Army Knife” of data development, these processes prepare your organization to face the challenges of digital age data, wherever and whenever they appear. Why Do You Need Data Quality Management? Industry-wide, the positive ROI on quality data is well understood.

Data Quality 96

Data Quality Monitoring Big Data Government 96

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Data Quality Government 52

Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. ETL data warehouse*.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

OCTOBER 31, 2023

Therefore, many question the wisdom of asking highly skilled data scientists to do the equivalent of digital janitorial work. [Data Preparation Challenges via Statista ] Why is Data Preparation Necessary ? Raw data is messy, incomplete, and inconsistent. Timeliness.

Data Quality 52

Data Quality Documentation Data Warehouse Data Governance 52

Astera

JULY 13, 2023

This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

MAY 14, 2024

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source). Types of metadata.

Government 52

Government Data Governance Master Data Management Documentation 52

Domo

JULY 31, 2019

Simply put, AR is a group of technologies that let you overlay digital items (data, images, objects and documents) onto the physical world. 5 AR isn’t meant to live in your pocket; it’s meant to overlay the real world with helpful data. AR’s true promise is bridging the chasm between the physical and digital worlds.

Retail 52

Retail Planning E-Commerce Digital Transformation 52

MindsMapped

JULY 18, 2020

Business Analytics mostly work with data and statistics. They primarily synthesize data and capture insightful information through it by understanding its patterns. Earlier, analytics across the web, app, and digital marketing channels had no formal process and were often added as an afterthought or forgotten completely.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

Astera

JUNE 14, 2023

Marketplace Model: Digital platforms like Alibaba and Amazon Business connect buyers and sellers for streamlined transactions. DWBuilder : It simplifies the process of building and maintaining data warehouses. It brings together data from different sources into a unified view, providing valuable insights for decision-making.

Procurement 40

Procurement Data Security Monitoring Retail 40

Astera

OCTOBER 10, 2023

Jitterbit Jitterbit is a low-code data mapping platform as a service that allows businesses to connect their applications and data, automate business processes, and create new digital experiences. It also lets users to create ETL pipelines and perform data migration. Jitterbit is also deployable on the cloud.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

Data Pine

AUGUST 29, 2022

Growth hacking is a relatively new phenomenon, bestowing the term of using key insights, data, and digital strategies to connect with your target audience on a more meaningful, more personal level. 12) Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, by Thomas H. And if executed the right way, it works.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Analysts Corner

FEBRUARY 25, 2025

However, when the target company frequently updates the data, analysts often end up managing multiple versions, leading to confusion and version controlissues. Additionally, controlling access to both raw data in the data warehouse and linked Google Sheets prevents unauthorized access and potential dataleaks.

E-Commerce 130

E-Commerce Data Warehouse Finance Documentation 130

Insight Software

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. Modern Data Sources Painlessly connect with modern data such as streaming, search, big data, NoSQL, cloud, document-based sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

JANUARY 19, 2024

One of the most challenging aspects of being an equity administrator is managing the vast range of documents related to stock option plans. These documents are not only essential for compliance and accuracy but also for communication and transparency with option holders.

Documentation 52

Documentation IBM Maintenance IBM Support Supply Chain 52

Insight Software

FEBRUARY 23, 2024

This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format. Load : Once data transformation is complete, the transformed data is loaded into the target system, such as a data warehouse, database, or another application.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52

Insight Software

OCTOBER 17, 2024

This transparency eliminates suspicion and builds trust in both the data’s integrity and the finance team’s expertise. Forget hidden formulas and spreadsheets shrouded in mystery – clear documentation empowers the finance team to move beyond number-crunching and become strategic partners.

IBM Maintenance 52

IBM Maintenance IBM Support Finance Supply Chain 52