Astera

APRIL 28, 2023

By AI taking care of low-level tasks, data engineers can focus on higher-level tasks such as designing data models and creating data visualizations. For instance, Coca-Cola uses AI-powered ETL tools to automate data integration tasks across its global supply chain to optimize procurement and sourcing processes.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

APRIL 27, 2023

This is where data extraction tools from companies like Matillion, Astera , and Fivetran are used to organize and prepare data for a cloud data warehouse. ELT or ETL tools , such as DBT, work within a cloud data warehouse to convert, clean, and structure data, into a format usable by data engineers and analysts.

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

Tableau

MAY 11, 2022

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. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)

Data Warehouse 95

Data Warehouse Government Artificial Intelligence Data Discovery 95

Tableau

MAY 11, 2022

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. Connector library for accessing databases and applications outside of Tableau regardless of the data source (data warehouse, CRM, etc.)

Data Warehouse 93

Data Warehouse Government Artificial Intelligence Data Discovery 93

Sisense

MARCH 30, 2021

Enhanced live model connection parameters. With enhanced live model connection parameters, you can now leverage one live data model for multiple customers who use the same schema structure in your data warehouse. Dive deeper into Custom Code here. Prepare for the power of personalized analytics in 2021!

Embedded Analytics 52

Embedded Analytics Data Warehouse Data Modelling Innovation 52

Sisense

MARCH 14, 2021

Edge computing solutions in conjunction with a robust business intelligence big data program (bolstered by an AI-empowered analytics platform) are a huge step forward for companies dealing with these immense amounts of fast-moving and remote data. Big data analytics case study: SkullCandy.

Big Data 52

Big Data Supply Chain Data Warehouse Data Analytics 52

Sisense

MAY 31, 2020

We’ve taken what we’ve learned from our customers and combined it with our own understanding of how the data and analytics world is evolving to drive innovations that unlock new possibilities and help our clients future-proof their products and services. Innovating for success. What can you do with Sisense?

Data Warehouse 98

Data Warehouse Innovation Predictive Analytics Vision 98

Insight Software

DECEMBER 23, 2020

An evolving toolset, shifting data models, and the learning curves associated with change all create some kind of cost for customer organizations. If you have made customizations or modifications that extend the existing data in your legacy ERP system, an off-the-shelf automated approach to migration may not work very well.

Data Warehouse 52

Data Warehouse Supply Chain Finance Data Modelling 52

Timo Elliott

NOVEMBER 30, 2022

This week I was in Dubai for the latest edition of the SAP Partner Innovation Meeting. Innovating Faster. First, everybody wants to innovate faster, to be more agile, to be able to react quickly to changes in today’s uncertain business environments. Gartner believes that business technologists are the future of innovation.

Innovation 246

Innovation Vision Data Warehouse Logistics 246

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Data Pine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. The ability to innovate with computer science-centric competencies. A data scientist has a similar role as the BI analyst, however, they do different things. Business Intelligence Job Roles. BI consultant.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

AUGUST 22, 2023

Data Warehousing AI Select: This feature aids you in identifying potential Fact and Dimension tables from selected entities. By leveraging AI capabilities, it automatically determines the appropriate classification, streamlining the data modeling process for entities with uncertain categorization.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

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. Optimize raw data using materialized views.

Embedded Analytics 90

Embedded Analytics Data Warehouse Digital Transformation Digital 90

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

Insight Software

JANUARY 20, 2021

Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. In order to achieve that, though, business managers must bring order to the chaotic landscape of multiple data sources and data models.

Data Management 95

Data Management E-Commerce Data Analytics Data Analytics 95

Data Pine

SEPTEMBER 29, 2022

Why Do You Need Data Quality Management? While the digital age has been successful in prompting innovation far and wide, it has also facilitated what is referred to as the “data crisis” – low-quality data. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling.

Data Quality 96

Data Quality Monitoring Big Data Government 96

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

Sisense

JANUARY 15, 2021

Ensuring that your organization has the right business intelligence and analytics tools to drive this innovation is key. As we have previously posted, the BI group is often the department that approaches the data teams for access to an analytics solution. Situation #2: Established company creates a data team for deeper insights.

Skillset 75

Skillset Data Warehouse Data Modelling Business Intelligence 75

Sisense

OCTOBER 14, 2020

These increasingly difficult questions require sophisticated data models, connected to an increasing number of data sources, in order to produce meaningful answers. Therein lies the power of your data team: Armed with know-how, they connect with the end user teams (internal users, product teams embedding insights, etc.)

Data Modelling 98

Data Modelling Embedded Analytics Data Warehouse Innovation 98

Insight Software

JULY 26, 2022

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. Moving data between systems is a time-consuming process prone to human-error. RALEIGH, N.C.—July formerly Noetix). Angles for Oracle 22.1

Supply Chain 52

Supply Chain Data Warehouse Finance Customer Experience 52

Insight Software

JULY 26, 2022

Angles for Oracle simplifies the process of accessing data from Oracle ERPs for reporting and analytical insights; offering seamless integration with cloud data warehouse targets. Moving data between systems is a time-consuming process prone to human-error. RALEIGH, N.C.—July formerly Noetix). Angles for Oracle 22.1

Supply Chain 52

Supply Chain Data Warehouse Finance Customer Experience 52

Actian

JULY 11, 2019

Data science professionals have been working with companies and individual technology providers for many years to determine a scalable and efficient method to aggregate data from diverse data sources. The problem is that the technology in this space is continuously evolving and the data being generated is changing too.

Data Management 40

Data Management Supply Chain Data Warehouse Artificial Intelligence 40

Astera

JUNE 14, 2023

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. DWBuilder : It simplifies the process of building and maintaining data warehouses.

Procurement 52

Procurement Data Security Retail Monitoring 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

Cprime

JANUARY 27, 2021

But it is almost impossible to keep up with all the innovation coming out of Microsoft. At the heart of the Power Platform is Microsoft’s Common Data Model (Service). The CDS is a data storage service in Microsoft 365. Of course, we are familiar with the traditional Office offerings like Word, Excel, Outlook, etc.,

User Experience 52

User Experience Documentation Data Warehouse Visualization 52

Sisense

MAY 21, 2020

It highlights an important fact, that companies are looking towards data to deal with extreme changes , and sophisticated BI tools can guide that approach to analyze sophisticated data and deliver basic insights back to organizations. Focus on integration and innovation. Moving data into the cloud, driving innovation.

Digital Transformation 98

Digital Transformation Innovation Digital Retail 98

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Sisense

NOVEMBER 5, 2021

Nagu Nambi , Product Dev and Innovation Director at Radial, leads their Data Warehouse and Analytics Products delivery programs. He has over 24 years of experience in software development, focused on data-driven innovation, research, and enabling business transformation initiatives. Learn more.

Embedded Analytics 52

Embedded Analytics Data Warehouse Innovation Data Governance 52

Insight Software

SEPTEMBER 19, 2023

There’s no doubt that cloud ERPs have had a profound impact on businesses, transforming the way organizations operate, innovate, and deliver value. Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? How do I access the legacy data from my previous ERP?

IBM cost 52

IBM cost IBM Maintenance IBM Support Data Warehouse 52

Insight Software

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue. There is plenty of data that demonstrates this point.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? How can we rapidly build BI reports on cloud ERP data without any help from IT?

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost IBM Expert 52

Insight Software

APRIL 3, 2023

The Angles Enterprise platform is built on more than 20 years of expertise working with enterprise companies across the world to transform data from SAP systems into actionable insights. In addition, its innovative supply-and-demand matching algorithm creates unmatched transparency, even for Make-to-Order and Make-to-Stock processes.

IBM Maintenance 52

IBM Maintenance IBM Support IBM Expert Supply Chain 52