Reltio

MARCH 11, 2019

The third Modern Data Management annual summit ( #DataDriven19 ) held on February 26-27 2019 attracted more than 400 business and IT professionals getting together in San Francisco to witness the future of data management, share success stories and learn best practices. This year’s theme was “ Organize Master Data.

Digital transformation 40

Digital transformation Financial Services Data science Retail 40

Reltio

OCTOBER 22, 2020

Twilio as an acquirer is not a surprise because Twilio is positioned as a Customer Engagement Platform for voice and messaging but did not have any coverage for data. Segment is a Customer Data Platform (CDP) player that focuses exclusively on person data. Why focusing exclusively on person data is a limitation.

Personal data 59

Personal data Marketing Customer Experience Retail 59

Reltio

FEBRUARY 18, 2019

The Modern Data Management Summit 2019 taking place in San Francisco, over February 26-27, 2019 is your ticket to discover how modern data management, data science, and business facing data-driven applications are transforming the Healthcare & Life Sciences organizations.

MDM 53

MDM Customer Experience Digital transformation Analytics 53

Reltio

JUNE 22, 2020

Cloud-native MDM (Master Data Management) is expected to adopt the unique features of the cloud to deliver exceptional versatility and elasticity - embedded in responsive data management. Some MDM platforms carrying the tag may just be offering a cloud-ready or hosted model that has been force-fitted to run in the cloud.

Cloud 78

Cloud MDM Analytics Data science 78

Reltio

FEBRUARY 6, 2019

The third Modern Data Management annual summit (#DataDriven19) will be held on February 26-27 2019 in San Francisco. There will be three tracks – Modern Data Management, Personalize Customer 360, and Healthcare & Life Sciences. This year’s theme “ Organize Master Data. Product Marketing Manager, Reltio.

MDM 40

MDM Digital transformation Big data Analytics 40

Reltio

JUNE 8, 2023

This problem hinders organizations from generating meaningful insights and realizing the full potential of their investments in analytics, artificial intelligence, machine learning, and data science initiatives. The consolidated data is populated into this schema effortlessly.

Cloud 98

Cloud Data science Analytics MDM 98

Reltio

JUNE 22, 2020

Innovative leadership teams recognize that their customer data is one of their most unique, differentiating and valuable assets. While the needs for customer data had grown exponentially, their legacy master data management (MDM) and IT environment was holding them back. Take a look at the table below. Digital Team.

Retail 78

Retail MDM Customer Experience Analytics 78

Reltio

OCTOBER 15, 2019

Now businesses are acquiring as much data as they can, trying to exploit it to drive innovation and new customer experiences. Today, a business might need to store transactional data cost-effectively, and that’s no problem, but tomorrow you might need to store huge volumes of sensor data.

Analytics 40

Analytics Blockchain Cloud Artificial Intelligence 40

Reltio

JULY 6, 2018

A modern Master Data Management (MDM) Platform helps businesses manage data like leading digital companies, leveraging continuous data organization and recommended actions to measure and improve their operations. Reduced IT & Operational Cost. Increased Productivity. Speed to Value.

MDM 60

MDM Insurance Retail Cloud 60

Reltio

AUGUST 23, 2023

This problem hinders organizations from generating meaningful insights and realizing the full potential of their investments in analytics, artificial intelligence, machine learning, and data science initiatives. The consolidated data is populated into this schema effortlessly.

Data science 52

Data science Analytics Cloud Artificial Intelligence 52

Reltio

NOVEMBER 9, 2020

Data plays a key role in enabling omnichannel connected customer experiences. It's critical that sales, call center, support, field services, and customer-facing operations teams have the data and customer experience processes to deliver connected customer experiences. On-premises MDM systems are just too slow.

Customer Experience 72

Customer Experience MDM Retail Data science 72

IBM Big Data Hub

JULY 13, 2023

Together, these factors determine the reliability of the organization’s data. Data quality uses those criteria to measure the level of data integrity and, in turn, its reliability and applicability for its intended use. Data science tasks such as machine learning also greatly benefit from good data integrity.

Metadata 66

Metadata MDM Analytics Compliance 66

Reltio

AUGUST 17, 2018

Discovery Phase: Value Creation via Data. However, departmental silos between medical affairs and commercial side of the business, and lack of access to quality data lead to incomplete understanding of competition and the market. Value Creation (discovery). Value Capture (commercialization). Value Extraction (end of exclusivity).

MDM 70

MDM Sales Customer Experience Marketing 70

Reltio

APRIL 16, 2019

Companies must manage different types of data, from different sources and need different insights from various data sets. Increasingly complex requirements of businesses may need a multi-cloud solution that makes it simpler to aggregate, organize, analyze, and share data across the enterprise. First is optimal performance.

Cloud 75

Cloud MDM Analytics Financial Services 75

Reltio

MAY 13, 2020

But it is the life sciences industry that is leading the way in the adoption of this technology. It can share data seamlessly and uncover relationships hidden in broad ranges of data sets, making it invaluable to R&D and sales teams alike. Graph and big data analytics technologies make a powerful combination.

Analytics 59

Analytics Big data Compliance Data science 59

Reltio

MARCH 31, 2019

The third Modern Data Management annual summit (#DataDriven19) had great minds sharing their MDM success stories and assessing where MDM is headed. Modern enterprises put data at the heart of every decision to stay competitive. Understanding data to make it work is perhaps the biggest challenge enterprises face today.

MDM 40

MDM Digital transformation Analytics Cloud 40