Sisense

APRIL 17, 2020

In Monetizing Your Data , we look at digital transformation: the ways of turning data into new revenue streams and apps that boost income, increase stickiness, and help your company thrive in the world of Big Data. However, what exactly a digital transformation looks like varies widely from company to company.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Sisense

JANUARY 1, 2020

In Build the Future of Data , we give you insights into the tools and trends that will define the next era of business. Few worlds have a pace of innovation quite like data and analytics. 5 Advantages of Using a Redshift Data Warehouse. Whatever business you’re in, your company is becoming a data company.

Digital Transformation 98

Digital Transformation Data Warehouse Embedded Analytics Artificial Intelligence 98

Smart Data Collective

JULY 20, 2021

Top Big Data CRM Integration Tools in 2021: #1 MuleSoft: Mulesoft is a data integration platform owned by Salesforce to accelerate digital customer transformations. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

Big Data 353

Big Data Documentation Logistics Data Warehouse 353

Tableau

MAY 11, 2022

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Bronwen Boyd.

Data Warehouse 95

Data Warehouse Government Artificial Intelligence Data Discovery 95

Tableau

MAY 11, 2022

When you work in IT, you see first hand how the increasing business appetite for data stresses existing systems—and even in-flight digital transformations. At Tableau, we’re leading the industry with capabilities to connect to a wide variety of data, and we have made it a priority for the years to come. Bronwen Boyd.

Data Warehouse 93

Data Warehouse Government Artificial Intelligence Data Discovery 93

Insight Software

DECEMBER 3, 2021

The term “ business intelligence ” (BI) has been in common use for several decades now, referring initially to the OLAP systems that drew largely upon pre-processed information stored in data warehouses. moment, leading to insights that help drive innovation and better business decisions. BI can open the door to an “Aha!”

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Warehouse 52

Sisense

DECEMBER 23, 2019

Does your company actually have the tools and processes to use these innovations? AI and ML are the only ways to derive value from massive data lakes, cloud-native data warehouses, and other huge stores of information. Use AI to tackle huge datasets. Let’s talk about AI and machine learning (ML). It’s the future.

Data Warehouse 86

Data Warehouse Artificial Intelligence Digital Transformation Innovation 86

Domo

JULY 1, 2021

In a time when everyone is trying to realize the promise of digital transformation, many organizations are migrating their infrastructure to the cloud. One cloud may be designed using best practices for security, but another might cut corners, placing your sensitive data at risk. There’s also the issue of scale.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Sisense

JUNE 8, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.

Data Warehouse 89

Data Warehouse Government Digital Transformation Big Data 89

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

Astera

JUNE 14, 2023

In this blog, we explore data capture and how it has evolved over time. What is Data Capture? Data capture refers to extracting and converting data from various sources, such as physical or digital documents, into a format that computer systems can easily process, analyze, and utilize.

Documentation 40

Documentation Digital Data Warehouse Visualization 40

Actian

OCTOBER 28, 2019

Sustainable competitive advantage in this environment is built on three things – information, innovation, and agility. IPaaS provides the tools and capabilities to manage all your company’s data connections in one place – giving you access to data from across the company. To learn more, visit www.actian.com/dataconnect.

Innovation 8

Innovation Data Warehouse Digital Transformation Agile 8

Insight Software

JANUARY 6, 2021

It provides a robust, scalable IT infrastructure and stronger integration capabilities that open the door for broader adoption of digital transformation technologies. Cloud ERP delivers innovations on a more continuous basis, eliminating the familiar (but costly and sometimes painful) upgrade projects of the past.

Supply Chain 98

Supply Chain Finance Planning Data Warehouse 98

Data Pine

SEPTEMBER 27, 2022

Whether you’re a programmer, a data analyst, or a business intelligence end user, knowing the best way to learn SQL is invaluable to anyone dealing with or handling digital data. The all-encompassing nature of this book makes it a must for a data bookshelf. 18) “The Data Warehouse Toolkit” By Ralph Kimball and Margy Ross.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

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. While both are meant for storing and retrieving data, they serve different purposes and have distinct characteristics.

Data Warehouse 40

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

Domo

MAY 13, 2021

Every business, regardless of size, has a wealth of data—much of it dark and sitting in disparate silos or repositories like spreadsheets, data warehouses, non-relational databases, and more. The first step in the data integration roadmap is understanding what you have.

Data Discovery 64

Data Discovery Master Data Management Data Warehouse Data Security 64

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. This could involve anything from learning SQL to buying some textbooks on data warehouses. Why Shift To A Business Intelligence Career?

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

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

Sisense

DECEMBER 3, 2019

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Thriving in a changing world: AI and multiple clouds.

Embedded Analytics 90

Embedded Analytics Data Warehouse Digital Transformation Digital 90

BizAcuity

APRIL 14, 2022

Tesla is another company that picks up data from their cars and also analyzes traffic and weather. One leverages data to improve their supply chain resilience while the other to improve their product innovation. With big data, brands want to improve their value offerings. Product/Service innovation.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

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 Data Automation 52

Domo

JULY 28, 2022

With more than 2,000 issued patents for advances in technology, the cutting-edge, multi-national company builds core innovations in connectivity, modeling, and data analytics for customers in agriculture, construction, and transportation. Q: What is Trimble’s background with BI solutions and using data to support its decision-making?

Embedded Analytics 98

Embedded Analytics Data Warehouse Digital Transformation Data Architecture 98

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 E-Commerce Data Analytics Data Analytics 95

Sisense

FEBRUARY 24, 2021

Elements like natural language processing can even interpret their queries written in everyday language, further increasing the range of people who can derive intelligence from data without technical skills. Many large organizations either have a central data warehouse or are in the process of creating one.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Argon Digital

AUGUST 11, 2022

So what was once a goal to become “paper free” has now evolved to innovative solutions that actively manage the life cycle of documents, or content as we also refer to it. . From a metal cabinet to digital document management.

Documentation 105

Documentation Artificial Intelligence Data Warehouse Banking 105

Domo

JUNE 15, 2022

As businesses across industries continue to innovate, the adoption of a multi-cloud strategy is gaining in popularity. Here’s a more detailed look at the primary ways Domo’s multi-cloud capabilities can benefit your business: 1 – Integrate more data, faster.

Cloud Computing 86

Cloud Computing Data Governance Data Warehouse Government 86

Inflexion Analytics

JULY 23, 2021

billion by the year 2030 , farming businesses are facing enormous pressures to innovate—and fast. Now it’s time for the smaller farms to embrace the digital transformation. Large economic potential is linked to big data. Large economic potential is linked to big data. With the world population set to reach 8.5

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

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

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 Warehouse Government 52

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 Digital Transformation Product Management 86

Actian

JULY 11, 2019

Some companies are relying on operational technology to support, for example, marketing, sales and digital delivery of services, but that is the topic of a future article.). Why operational technology data management may never be standardized. oil pipelines, traffic signals, windmills, etc.);

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Astera

JUNE 14, 2023

Marketplace Model: Digital platforms like Alibaba and Amazon Business connect buyers and sellers for streamlined transactions. Ensuring data security and privacy. Overcoming these challenges is crucial for utilizing external data effectively and gaining valuable insights. This can drive business growth and innovation.

Procurement 52

Procurement Data Security Retail Monitoring 52

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. To help companies operate with maximum agility and efficiency, GitLab’s data team uses Sisense code-driven analytics, hand in hand with Snowflake.

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

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 IBM Maintenance 105

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. Instead, organizations are looking to gain greater flexibility in cloud computing.

Cloud Computing 52

Cloud Computing E-Commerce Procurement Product Management 52

ElegantJ BI

APRIL 22, 2021

Advanced analytics benefits are numerous but, when a business chooses augmented analytics tools, it can ensure that its business users have full access to analytical features and sophisticated techniques without having to learn complex systems and without having to acquire data scientist skills.

Data Warehouse 130

Data Warehouse Digital Transformation Predictive Analytics Business Intelligence 130