Astera

DECEMBER 21, 2022

For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker. What is a cloud data warehouse? Moreover, when using a legacy data warehouse, you run the risk of issues in multiple areas, from security to compliance.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. So, in case your data requires extensive transformation or cleaning, Fivetran is not the ideal solution.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Domo

JANUARY 30, 2024

This has enabled them to solve data problems much faster while reducing overall costs in custom development work, hiring, and more. For instance, I’ve found that Tableau shines in robust data exploration. Power BI has helpful Excel integrations for the Excel power users and data connectivity to the Microsoft stack.

Visualization 52

Visualization Documentation Data Governance Data Visualization 52

The BAWorld

FEBRUARY 13, 2024

Neither A nor B Examining each piece of requirement to check if any change is required to meet the business need Examining each piece of requirement to check what must stay same to meet the business need Both A and B 8. This ECBA sample mock test is based on the latest ECBA exam pattern. Each question has one correct answer.

Banking 98

Banking Documentation Business Analysis Business Analysis 98

Sisense

APRIL 17, 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. What is a materialized view, anyway?

Data Warehouse 90

Data Warehouse Visualization 90

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 Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 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.

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52

Sisense

JANUARY 9, 2020

Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. New name, same commitment to empowering data teams. What exactly is changing? Is this still a product for data teams?

Vision 93

Vision Data Warehouse Data Visualization Innovation 93

Data Pine

AUGUST 19, 2020

In our cutthroat digital economy, massive amounts of data are gathered, stored, analyzed, and optimized to deliver the best possible experience to customers and partners. Collecting big amounts of data is not the only thing to do; knowing how to process, analyze, and visualize the insights you gain from it is key.

Supply Chain 114

Supply Chain Retail Monitoring Visualization 114

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.

Supply Chain 95

Supply Chain Procurement E-Commerce Retail 95

Tableau

JUNE 13, 2022

VP, Chief Data Officer, Tableau. Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. June 13, 2022.

Chief Data Officer 77

Chief Data Officer Government Data Discovery Data Architecture 77

Astera

JANUARY 22, 2024

Every interaction a customer has with a business, be it an online purchase, a visit to a physical store, a customer service call, or a social media engagement, is a valuable piece of a larger puzzle. A Single Customer View (SCV) is a consolidated, holistic view of each customer which integrates data from various touchpoints.

Customer Experience 52

Customer Experience Customer Experience Data Warehouse 52

Tableau

JUNE 13, 2022

VP, Chief Data Officer, Tableau. Editor's note: This article originally appeared in Forbes , by Wendy Turner-Williams, Chief Data Officer, Tableau. In today’s fast-paced world of competing business priorities, the capacity to enable self-service data analytics with right-sized data governance is key. June 14, 2022.

Chief Data Officer 71

Chief Data Officer Government Data Discovery Data Architecture 71

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. That being said, it seems like we’re in the midst of a data analysis crisis. Your Chance: Want to perform advanced data analysis with a few clicks? Data Is Only As Good As The Questions You Ask.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Data Pine

MAY 9, 2019

“Without big data, you are blind and deaf and in the middle of a freeway.” – Geoffrey Moore, management consultant, and author. 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. Learn here!

Business Intelligence 108

Business Intelligence Business Intelligence Procurement Data Warehouse 108

Sisense

MARCH 14, 2021

Attempting to learn more about the role of big data (here taken to datasets of high volume, velocity, and variety) within business intelligence today, can sometimes create more confusion than it alleviates, as vital terms are used interchangeably instead of distinctly. Big data challenges and solutions.

Big Data 52

Big Data Supply Chain Data Warehouse Data Analytics 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

Insight Software

JANUARY 18, 2021

Fortunately, Microsoft plans to support its legacy Dynamics products (including AX) until at least 2028, but the company’s future investments in improved functionality focus on the two new Microsoft D365 products. Typically, a company makes that decision when it intends to replace certain features with better or faster functionality.

Planning 98

Planning E-Commerce Supply Chain Finance 98

Actian

FEBRUARY 3, 2020

A few months ago, Gartner published an update on the database market, which is highlighted in Adam Ronthal’s blog “ There is only One DBMS Market ” and made a rather profound declaration – the database markets have collapsed. Why is this important you might ask, and what does it have to do with my data warehouse?

Data Warehouse 40

Data Warehouse Digital Transformation Big Data Digital 40

Data Pine

MARCH 31, 2022

3) What Are the First Steps To Getting Started? 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. So, what skills are needed for a business intelligence career? What does a profession in this field look like?

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Sisense

JANUARY 13, 2021

In Navigating Change in Crisis , we explore how individuals and companies are adapting to a “new normal.” During that time, it has faced challenges both expected (data volumes growing as the business grew) and not (a U.K.-wide The problem: Too much data, not enough insights. wide lockdown and some temporary store closures).

Supply Chain 59

Supply Chain Procurement E-Commerce Finance 59

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. AI is a powerful tool that goes beyond traditional data analytics. The current use of AI in data warehousing is just the beginning, and the possibilities for new applications are endless.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Sisense

OCTOBER 10, 2019

When “data engineer” first started becoming a vital role for tech companies, the world was a smaller, simpler place. Engineers were primarily concerned with handling data stored in Excel spreadsheets and on local machines. Now all tech and all data is all about the cloud. Every company a cloud data company.

Data Warehouse 60

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 60

Sisense

MAY 31, 2020

Every conversation with a customer is a chance to deepen our relationship and help them get more out of their data. Customer obsession is part of who we are. In Sisense Successes , we share stories of customer obsession in action and best practices you can apply in your own customer relationships. When we partner, we all win.

Data Warehouse 98

Data Warehouse Innovation Predictive Analytics Vision 98

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 Oracle Database? What is Azure Data Lake?

Big Data 52

Big Data Data Warehouse Data Quality Data Analytics 52

Sisense

SEPTEMBER 3, 2020

In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing!

Chief Data Officer 97

Chief Data Officer Finance Data Modelling Visualization 97

Data Pine

JULY 8, 2020

Chief operating officers (COOs) have a demanding task to make sure all operational activities within a company are performed in the best possible manner, but their career development can vary based on industry and previous experience. That said, in essence, we will discuss: What is a COO dashboard? What is a COO report?

Supply Chain 81

Supply Chain Logistics Monitoring Visualization 81

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Sisense

OCTOBER 21, 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. Picking a direction for your data model.

Data Modelling 71

Data Modelling Embedded Analytics Design Thinking Big Data 71

Actian

FEBRUARY 5, 2020

Are you considering a hybrid cloud data warehouse for your company? Do you know what features to look for? Here is a list of the top must-have features of a hybrid cloud data warehouse solution. Your hybrid cloud data warehouse should support multi-cloud deployment. Multi-Cloud Deployment.

Data Warehouse 40

Data Warehouse Digital Transformation Digital Data Management 40

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

Sisense

OCTOBER 6, 2020

Digging into quantitative data Why is quantitative data important What are the problems with quantitative data Exploring qualitative data Qualitative data benefits Getting the most from qualitative data Better together. Almost every modern organization is now a data-generating machine.

Visualization 98

Visualization Data Warehouse Innovation Predictive Analytics 98

Domo

JULY 8, 2021

Since the introduction of the cloud, a steady stream of companies has opted to move its most sensitive data from on-premises to remote storage, making it available from anywhere and in real time. A third thing you should consider is how providers align with your data governance models.

Data Governance 52

Data Governance Government Embedded Analytics Data Warehouse 52

Astera

JUNE 14, 2023

In today’s data-driven world, businesses and organizations rely on databases to manage their operations and make strategic decisions. In this blog, we will explore the differences between the OLTP and OLAP systems and how they are used in various industries. What is OLTP? OLTP stands for Online Transaction Processing.

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

Domo

MAY 13, 2021

Organizations must pull together data—regardless of where it resides—to obtain value from it. That means connecting data sources, shining a light on dark data, processing and cleaning data in real time, and automating analytics environments. Step 1 – Putting context around data. So, where should you start?

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

Domo

JULY 1, 2021

One cloud may be designed using best practices for security, but another might cut corners, placing your sensitive data at risk. Indeed, there are risks and benefits to cloud data integration and cloud BI providers—and you need to understand them all before moving to the cloud or choosing a new cloud provider.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Sisense

JULY 14, 2019

Quick question: does your company have data? How about this one: how much data does your company have? If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe?

Data Security 75

Data Security Data Modelling Cybersecurity Documentation 75