datapine

JANUARY 31, 2022

The companies that are most successful at marketing in both B2C and B2B are using data and online BI tools to craft hyper-specific campaigns that reach out to targeted prospects with a curated message. Consumers have grown more and more immune to ads that aren’t targeted directly at them.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

bridgei2i

MAY 18, 2020

As the crisis continues to unfold, it is paramount that B2B companies keep their customers engaged through the economic situation. How these B2B companies plan to engage their customers today, will determine the success of these enterprises tomorrow, at the dawn of a COVID-free world. However, this crisis will test the progress made.

B2B 52

B2B Sales ROI Marketing 52

CIO Business Intelligence

FEBRUARY 20, 2023

To earn the Salesforce Data Architect certification , candidates should be able to design and implement data solutions within the Salesforce ecosystem, such as data modelling, data integration and data governance. Prerequisites include earning Salesforce Application Architect certification (see above).

Consulting 87

Consulting B2B Cost-Benefit Sales 87

bridgei2i

NOVEMBER 8, 2021

As enterprises navigate through the spectrum of new technologies powered by the Internet, cloud computing, mobile applications, and artificial intelligence, the landscape of how B2B enterprises engage and transact with their customers is undergoing a dramatic transformation. This is essentially done by: Personalized omnichannel CX.

Enterprise 52

Enterprise B2B Sales Data Warehouse 52

Ontotext

FEBRUARY 12, 2024

This is especially beneficial when teams need to increase data product velocity with trust and data quality, reduce communication costs, and help data solutions align with business objectives. In most enterprises, data is needed and produced by many business units but owned and trusted by no one.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Ontotext

MARCH 18, 2020

The main market driver generating demand for knowledge graphs is that B2B clients are on the lookout for intelligent knowledge management solutions that work the same way as the solutions Apple, Amazon, Google and Microsoft provide to their B2C users. The third challenge is how to combine data management with analytics.

Enterprise 59

Enterprise B2B Unstructured Data Machine Learning 59

Ontotext

MAY 22, 2023

Master data management (MDM), on the other hand, is focused on ensuring data quality and consistency across different systems and applications. MDM creates a single, verified source of data that can be used throughout an organization, and enforce policies and standards to maintain data quality.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

DataRobot Blog

APRIL 1, 2018

This shift is driving a hybrid data integration mentality, where business teams are given curated data sandboxes so they can participate in building future use cases such as mobile applications, B2B solutions, or IoT analytics. To achieve organization-wide data literacy, a new information management platform must emerge.

Analytics 40

Analytics IoT Internet of Things B2B 40

Occam's Razor

NOVEMBER 13, 2009

Some might argue, rightly so, that the most elusive thing to accomplish is to truly bring data democracy to your organization. This chapter bravely hopes to help you do exactly that: excite people about data, remove organizational barriers, use data to change behavior, dealing with data quality, and creating data driven HiPPO's.

Analytics 71

Analytics Metrics Measurement Testing 71

Andrew White

JANUARY 9, 2022

– We see most, if not all, of data management being augmented with ML. Much as the analytics world shifted to augmented analytics, the same is happening in data management. You can find research published on the infusion of ML in data quality, and also data catalogs, data discovery, and data integration.

Analytics 64

Analytics Measurement Data-driven Modeling 64

Occam's Razor

APRIL 21, 2014

The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with data quality. We wonder why data people are not loved. :). chapter 5 specifically provides advice on B2B and non-ecommerce websites). Six years go by.

Marketing Analytics 132

Marketing Analytics Marketing Analytics Metrics 132

Occam's Razor

DECEMBER 12, 2016

Data quality plays a role into this. And, most of the time, regardless of the size of the size of the company, you only know your code is not working post-launch when data is flowing in (not!). You got me, I am ignoring all the data layer and custom stuff! All that is great.

Analytics 142

Analytics Data-driven Strategy Consulting 142

Occam's Razor

SEPTEMBER 21, 2015

When you are presenting, to an audience of 3 or 3,000, your goal should be to get the data out of the way as fast as you can, so that you can move to the so what conversation. Surely you are curious why the lovely hipster gentleman in a t-shirt was necessary to communicate with B2B bosses. A delightful mess.

Visualization 161

Visualization Key Performance Indicator Slice and Dice Strategy 161

Jet Global

FEBRUARY 23, 2024

The quick and dirty definition of data mapping is the process of connecting different types of data from various data sources. Data mapping is a crucial step in data modeling and can help organizations achieve their business goals by enabling data integration, migration, transformation, and quality.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

CIO Business Intelligence

MARCH 14, 2025

Data Inaccuracy Leads to Poor Procurement Decisions The Challenge: 75% of organizations struggle with unreliable procurement data, leading to inefficient purchasing and wasted resources.

B2B 127

B2B Data-driven Forecasting Risk 127

CIO Business Intelligence

JANUARY 16, 2025

My experiences as architecture principal in B2C-connected vehicle integration for the automotive OEM industry focused on unlocking and enabling the access and flow of data from vehicles globally and at scale. The real risk of making impactful business decisions with questionable data lineage and quality was obvious.

Enterprise 105

Enterprise Digital Transformation Scorecard Interactive 105