Timo Elliott

JUNE 19, 2023

Here’s the recording and a transcript below: SAP Innovation Evangelist SAP on the top topics SAP Partners should be thinking about. Hello everyone, my name is Timo Elliott and I’m an Innovation Evangelist for SAP and there are four topics that I think should be top of mind for partners around the world.

Innovation 264

Innovation Digital Transformation Digital Government 264

Domo

APRIL 7, 2023

We now use it for all our data warehouse, extract, transform, load (ETL), and data-cleansing operations. The post Dental care innovator Dntl Bar uses Domo to tune its business model for growth first appeared on Blog.

Innovation 52

Innovation Data Warehouse 52

Timo Elliott

MAY 27, 2022

This holds out the promise of unleashing more business innovation — letting business people do more of it themselves, in their area of expertise, without IT and technology being a bottleneck. And there’s been a big change in technology that is supporting all this. It’s possible, but it’s a lot of hard work.

Data Analytics 308

Data Analytics Data Analytics Data Warehouse Innovation 308

Analysts Corner

AUGUST 13, 2023

In the era of data-driven decision-making, understanding and managing the quality of data is crucial. As organizations increasingly rely on data to drive their operations, strategy, and innovation, ensuring data integrity and usability has never been more important. This is where data profiling comes into play.

Data Quality 130

Data Quality Data Warehouse Data Discovery Innovation 130

Timo Elliott

OCTOBER 3, 2019

I recently had the honor of delivering the keynote at the “The Journey to the Top” Event at SAP UK headquarters, and you can see my slides and a video in my previous post How Data is Powering The Future of Business: Trends and Opportunities. People, collaboration, and ease of use.

Data Warehouse 157

Data Warehouse Digital Transformation Innovation Digital 157

BizAcuity

JULY 13, 2021

Artificial Intelligence impersonates human intelligence using various algorithms to collect data and improve performance with data compliance over some time. The platform consists of four layers independently developed in a service-oriented architecture which makes it highly scalable and fault-tolerant: Data Ingestion/Data Lake Layer.

Data Warehouse 130

Data Warehouse Artificial Intelligence Data Analytics Data Analytics 130

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

JANUARY 29, 2024

It challenges organizations to rethink their entire data lifecycle, especially within data warehouses and during data migration projects. Rainardi highlights a critical operational aspect: the retention period of personal data. ” This statement opens a dialogue about the dual-edged nature of AI.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

Sisense

APRIL 17, 2020

Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle. Another piece of advice that Charles talks about in his “ Hacking the Analytic Apps Economy ” video series is where the innovation factory should live.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Timo Elliott

JANUARY 3, 2022

It’s stored in corporate data warehouses, data lakes, and a myriad of other locations – and while some of it is put to good use, it’s estimated that around 73% of this data remains unexplored. On the machines side of the equation, SAP and Intel have been co-innovating to help organizations move forward.

Data Quality 358

Data Quality Data Warehouse Innovation Planning 358

Astera

MAY 9, 2023

Six Stages of the Data Processing Cycle The data processing cycle outlines the steps that one needs to perform on raw data to convert it into valuable and purposeful information. Data Input Data input stage is the stage in which raw data starts to take an informational form.

Data Warehouse 52

Data Warehouse Big Data Innovation Artificial Intelligence 52

Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 In 2013, Dan Linstedt and Michael Olschimke introduced Data Vault 2.0

Data Warehouse 52

Data Warehouse Healthcare Big Data Data Governance 52

Sisense

JULY 8, 2020

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. In recent years we’ve seen data become vastly more available to businesses. This has allowed companies to become more and more data driven in all areas of their business.

Data Warehouse 90

Data Warehouse Embedded Analytics Real-time Data Documentation 90

Astera

DECEMBER 16, 2022

John Stillwagen, Senior Director MIS at La Jolla Institute for Immunology, demonstrated how efficiently our data warehouse solution, Astera Data Warehouse Builder, helps you build an enterprise-grade data warehouse via a no-code interface. And we have incredible, innovative plans for 2023. Final Word.

Data Warehouse 59

Data Warehouse Big Data Data Management Documentation 59

Sisense

JULY 7, 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. Today’s organizations are more data-driven than ever. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses.

Data Warehouse 92

Data Warehouse Agile Data Modelling Innovation 92

Dataversity

AUGUST 1, 2022

Everything is already digital-first, totally connected, in the cloud, and powered by data, everywhere, all the time. Everyone else missed opportunities to innovate, made costly mistakes, and failed […]. Digital-first organizations won.

Digital Transformation 246

Digital Transformation Digital Innovation Data Warehouse 246

Smart Data Collective

JULY 20, 2021

3 Dell Boomi: Boomi is one of the innovative integration toolsthat connects native applications like Sales cloud, service cloud with other cloud or on-premise applications. 10 Panoply: In the world of CRM technology, Panoply is a data warehouse build that automates data collection, query optimization and storage management.

Big Data 352

Big Data Documentation Logistics Data Warehouse 352

Astera

APRIL 27, 2023

These are various sources, like databases or third-party apps such as Salesforce and HubSpot, that contain raw data stored in an unorganized manner i.e., unstructured data Data pipeline tools The ELT data pipeline tools gather and move data from the data sources.

Data Warehouse 52

Data Warehouse Big Data Cloud Computing Data Analytics 52

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

JUNE 7, 2019

Big data stream processing can allow businesses including some emerging markets to deal with a vast amount of information while it’s still in motion, as contrasted to waiting for the data to be stored in a data warehouse.

Big Data 203

Big Data Real-time Data Data Warehouse Innovation 203

Domo

MARCH 5, 2021

And yet experts estimate that up to 80% of this data is “dark data,” meaning it sits unseen and unused in segmented silos. Every business, no matter what size, has an accumulation of dark data sitting in repositories like spreadsheets on employees’ desktops, data warehouses, and non-relational databases.

Data Warehouse 52

Data Warehouse Supply Chain Government Innovation 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 94

Data Warehouse Government Artificial Intelligence Data Discovery 94

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 92

Data Warehouse Government Artificial Intelligence Data Discovery 92

Sisense

AUGUST 4, 2021

The Sisense Q2 2021 product release is packed with exciting innovations and enhancements that offer users a more extensible experience when it comes to analytics. Optimize your cloud data warehouse cost forecasting.

Data Warehouse 52

Data Warehouse User Experience Government Innovation 52

ElegantJ BI

FEBRUARY 14, 2017

So, what was the cost of data preparation and analysis? The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)! About Kartik Patel.

Business Intelligence 162

Business Intelligence Business Intelligence Data Discovery Data Visualization 162

ElegantJ BI

FEBRUARY 14, 2017

So, what was the cost of data preparation and analysis? The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)!

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

FEBRUARY 14, 2017

So, what was the cost of data preparation and analysis? The staffing and resources, the time spent in understanding requirements and then diving into the data (often stored in disparate systems, spreadsheets and data warehouses)!

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Data Visualization 130

ElegantJ BI

JUNE 17, 2015

So, ElegantJ BI customers and partners can look forward to working with us, and to enjoying the fruits of our labors and the benefits of one of the most innovative BI tools in the market.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

So, ElegantJ BI customers and partners can look forward to working with us, and to enjoying the fruits of our labors and the benefits of one of the most innovative BI tools in the market.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

ElegantJ BI

JUNE 17, 2015

Do We Still Need a Data Warehouse – Roxanne Edijali. Navigating the Data Lake – Adam Ronthal. Mobile BI – It’s Time to Innovate – Bhavish Sood. Big Data Discovery – Rita Sallam. Interactive Visualizations for Everyone – Rita Sallam.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Discovery 130

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

Tableau

MAY 25, 2021

In the two or so weeks it takes them to get that missing data set, time is lost, conditions change, and momentum stalls. Data sharing shouldn’t be a barrier to innovation. . Take advantage of the open source and open data formats of Delta Lake to make data accessible to everyone .

Data Warehouse 91

Data Warehouse Innovation Vision Government 91

Astera

APRIL 28, 2023

Additionally, AI-powered data modeling can improve data accuracy and completeness. For instance, Walmart uses AI-powered smart data modeling techniques to optimize its data warehouse for specific use cases, such as supply chain management and customer analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Tableau

JANUARY 18, 2023

Britt Staniar Senior Community Program Manager, Recognition Programs Catherine Gosparini Senior Community Program Manager, Developer Program Sarah Molina January 18, 2023 - 8:24pm January 19, 2023 Tableau Ambassadors teach and share while fostering a positive and supportive space within the data community.

Data Warehouse 89

Data Warehouse Healthcare Visualization Finance 89

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. How does Sisense for Data Teams affect the analysis workflow?

Vision 93

Vision Data Warehouse Data Visualization Innovation 93

Domo

JULY 1, 2021

This ensures that while there will be innovation through constant change, the provider can’t weaken the security program that you have previously reviewed and approved. Look for providers who have a track record of delivering new product innovations while ensuring that security is never compromised.

Embedded Analytics 64

Embedded Analytics Data Warehouse Digital Transformation Innovation 64

Astera

JANUARY 24, 2024

However, with SQL Server change data capture , the system identifies and extracts the newly added customer information from existing ones in real-time, often employed in data warehouses, where keeping data updated is essential for analytics and reporting. How C hange D ata C apture Works?

E-Commerce 52

E-Commerce Data Warehouse Real-time Data Monitoring 52