ElegantJ BI

SEPTEMBER 30, 2021

In the first article in our two-part series, entitled, ‘ Data Warehouse, Data Lake, Data Mart, Data Hub: A Definition of Terms ’, we defined the terms and differences in the market so that businesses can better understand the possibilities of Data Warehouses, Data Marts, Data Lakes and Data Hubs.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Astera

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Data Pine

MAY 9, 2019

In a world dominated by data, it’s more important than ever for businesses to understand how to extract every drop of value from the raft of digital insights available at their fingertips. They’re needed to cut through the noise, and get to the good stuff in the sea of data we all live in. The data warehouse.

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Insight Software

JANUARY 20, 2021

Data, Data, and More Data. Add web analytics, digital marketing automation, and social media to the mix, and the volume of data grows even further. Pile on external data from suppliers and external service providers, and it begins to appear unmanageable. Using Jet Analytics for Data Management.

Data Management 95

Data Management Data Analytics Data Analytics E-Commerce 95

Argon Digital

AUGUST 11, 2022

From a metal cabinet to digital document management. However, storing electronic documents in the computer version of a filing cabinet and sharing file folders on a server still presented challenges. When every dollar we spend for technology is scrutinized, I have to present a solid use case for this kind of investment.

Documentation 105

Documentation Artificial Intelligence Data Warehouse Banking 105

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. 12) “Too Big To Ignore: The Business Case For Big Data” by Phil Simon.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

NOVEMBER 28, 2022

Data warehouses have long served as a single source of truth for data-driven companies. But as data complexity and volumes increase, it’s time to look beyond the traditional data ecosystems. Does that mean it’s the end of data warehousing? Does that mean it’s the end of data warehousing?

Data Warehouse 52

Data Warehouse Data Modelling Data Management Big Data 52

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

BizAcuity

APRIL 14, 2022

Data management and analytics are a part of a massive, almost unseen ecosystem which lets you leverage data for valuable insights. According to Gartner, through 2025, 80% of the organizations seeking to scale their digital business will fail because they do not take a modern approach to data and analytics governance.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Actian

JANUARY 15, 2020

You’ve gone through digital transformation – now what? IT and business leaders are learning quickly that digital transformation is only one of many steps on the journey towards operational optimization. Once you have your people and processes in order, it’s time to shift focus towards your data.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Data Management 40

Data Pine

JULY 1, 2020

“The goal is to turn data into information, and information into insight.” – Carly Fiorina, former executive, president, HP. Digital data is all around us. quintillion bytes of data every single day, with 90% of the world’s digital insights generated in the last two years alone, according to Forbes.

Retail 104

Retail Healthcare Visualization Business Intelligence 104

Whizlabs

APRIL 22, 2021

Cloud services are being used for storing and using more data from various sources to help business organizations grow. But, the major concern for most of the companies in the present era is to make the data work seamlessly and efficiently after the infrastructure is built. The importance of data is undeniable in the year 2021.

Data Warehouse 88

Data Warehouse Data Automation Data Modelling Planning 88

Actian

DECEMBER 2, 2019

Checklist: Critical Capabilities to Consider when Selecting a Data Integration Vendor That Enables Real-Time Analytics Use Cases. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. The initial data loading and migration are only the beginning.

Data Warehouse 8

Data Warehouse Digital Transformation Real-time Data Vision 8

Sisense

OCTOBER 10, 2019

Every company a cloud data company. Today, being a data engineer means connecting your company’s business systems to cloud-based data sources. and let AWS (or whichever cloud-native data warehouse you choose) worry about the hardware, maintenance, uptime, etc. . Serverless solutions are the present and the future.

Data Warehouse 60

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 60

Sisense

OCTOBER 14, 2020

Luma Health is a digital health company focused on using technology to improve patient access and engagement and to create smarter provider interactions. Developing data maturity and anticipating growth. In the healthcare sector, the pandemic has caused unprecedented challenges in patient care.

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Data Pine

FEBRUARY 10, 2021

Likes, comments, shares, reach, CTR, conversions – all have become extremely significant to optimize and manage regularly in order to grow in our competitive digital environment. You need to know how the audience responds, whether you need further adjustments, and how to gather accurate, real-time data.

Visualization 77

Visualization Data Visualization Data Warehouse Real-time Data 77

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. See Case Sudy.

Data Management 52

Data Management Data Warehouse Big Data Procurement 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. See Case Sudy.

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

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. ETL data warehouse*. You can have the most valuable insights in the world, but if they’re presented poorly, your target audience won’t receive the impact from them that you’re hoping for.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

DECEMBER 18, 2023

For instance, if the extracted data contains missing values or outliers, these issues are addressed during the transformation process to ensure data accuracy. Finally, the transformed data is loaded into a target system or data warehouse for reporting and analysis. How CDC Works in Data Integration?

Finance 52

Finance Banking Real-time Data Data Warehouse 52

Data Pine

MARCH 31, 2022

Here, we will answer all of these questions and more, starting with the reasons to migrate toward one of the exciting jobs that companies are currently offering in the digital world. To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Actian

MAY 21, 2019

In this case, actionable business insights are the finished product you are seeking to provide to your data consumers. The refinement process starts with the ingestion and aggregation of data from each of the source systems. This is often done in some sort of data warehouse. Big-Data and Real-Time insights.

Big Data 40

Big Data Data Warehouse Artificial Intelligence Digital Transformation 40

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

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

AUGUST 16, 2024

Data migration is the process of selecting, extracting, preparing, and transforming data, followed by a permanent transfer to a new destination. The new destination can be a new file format, location, storage system, computing environment, database, or data center. Improper planning can lead to data corruption or loss.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

Astera

DECEMBER 22, 2022

Challenge # 1: Inability to Process Growing Data Volumes. The volume of global data is projected to rise to 175 Zettabytes by 2025. This presents the challenge of accurately capturing this data in a timely manner. Enterprises need to capture and store unstructured data to extract valuable insights.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Astera

DECEMBER 18, 2023

For instance, if the extracted data contains missing values or outliers, these issues are addressed during the transformation process to ensure data accuracy. Finally, the transformed data is loaded into a target system or data warehouse for reporting and analysis. How CDC Works in Data Integration?

Finance 40

Finance Banking Real-time Data Data Warehouse 40

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

Sisense

FEBRUARY 17, 2021

With more people becoming digital citizens, the ability for an application to explode in popularity has all but rendered obsolete the traditional IT hosting mindset of discrete servers performing discrete tasks. Cloud: The present and the future. Instead, organizations are looking to gain greater flexibility in cloud computing.

Cloud Computing 52

Cloud Computing Procurement E-Commerce Product Management 52

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.

Data Quality 52

Data Quality Documentation Data Warehouse Data Governance 52

Data Pine

AUGUST 29, 2022

Each of the three parts starts with chapters that are theoretical and finishes with more practical ones to make sense of all the concepts and knowledge previously presented, which is something that readers really enjoy about Nathan Marz’s work. 12) Big Data at Work: Dispelling the Myths, Uncovering the Opportunities, by Thomas H.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Inflexion Analytics

JUNE 17, 2024

Google Cloud Data Fusion emerges as a fully managed cloud service from Google, presenting a streamlined graphical user interface tailored for constructing data pipelines. It’s no surprise that Google, renowned for its algorithms analyzing millions of websites daily, leads in enterprise data management.

Digital 52

Digital E-Commerce Real-time Data Data Warehouse 52

Sisense

MARCH 24, 2020

Remote working presents organizations with the challenge of how teams collaborate effectively. Dashboards can play a critical role in maintaining business continuity and productivity, workflow management, continuing to drive business impact, and maintaining morale, as data is often the lifeline of a business’s health.

Healthcare 90

Healthcare Visualization Monitoring Data Warehouse 90

Leading Agile

NOVEMBER 15, 2024

Some of these ideas that I started branching off into is the idea of, well, what about when the data’s not in alignment with what’s going on? What about when the data’s managed by a different group? You have a data warehouse, data lakes, what about when security is outside the purview of the team?

Agile 77

Agile IBM Maintenance Project Management IBM cost 77

Insight Software

MAY 1, 2023

Discuss, don’t present. Present your business case. To support your case, present findings from the State of Embedded Analytics study. Information Delivery The main reason software providers take on an embedded analytics project is to improve how data is presented. It is now most definitely a need-to-have.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52