Smart Data Collective

NOVEMBER 20, 2022

Data analytics is unquestionably one of the most disruptive technologies impacting the manufacturing sector. Manufacturers are projected to spend nearly $10 billion on analytics by the end of the year. Data analytics can solve many of the biggest challenges that manufacturers face.

Manufacturing 130

Manufacturing Marketing Data Analytics Analytics 130

Smart Data Collective

NOVEMBER 26, 2021

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. It lays a core foundation necessary for business planning.

Marketing 106

Marketing Data Analytics Key Performance Indicator B2B 106

Smart Data Collective

OCTOBER 17, 2022

Email marketing is the most acceptable way to give precise customer data, but you must guarantee your efforts aren’t wasted. Using data analytics help your email marketing strategies succeed. Data Analytics’ Importance in Email Marketing. Types of data analytics. Segmentation.

Marketing 117

Marketing Optimization Data Analytics Analytics 117

Smart Data Collective

JANUARY 20, 2021

We have talked at length about the importance of data analytics in the field of marketing. Data analytics offers many useful insights for companies striving to boost their market share. One of the best applications of data analytics is through enhanced account-based marketing. Not convinced?

Marketing 139

Marketing Data Analytics Analytics B2B 139

Corinium

SEPTEMBER 6, 2021

MONDAY, 6 SEPTEMBER 2021 – Corinium Global Intelligence (“Corinium” or “the Group”), the global B2B information service provider of events and market intelligence company, has announced its acquisition of RE•WORK today. RE•WORK is the leading events provider for deep learning as well as applied AI.

B2B 435

B2B Deep Learning Digital Transformation Data Processing 435

Smart Data Collective

MAY 19, 2022

Big data has become a very important part of modern marketing practices. More companies are using data analytics and AI to optimize their marketing strategies. LinkedIn is one of the platforms that helps people use big data to facilitate online marketing. It is well known that LinkedIn is built on big data.

Data Analytics 137

Data Analytics Analytics Big Data Advertising 137

Smart Data Collective

NOVEMBER 18, 2021

B2B business, in particular, brings a unique set of challenges that B2C companies don’t face. This is where big data comes into play. You can use data to better understand your customers and improve the efficiency of your operations. Focus On Data-Driven Lead Generation. The world of B2B is now worth over $1.8

Data Strategy 123

Data Strategy B2B Strategy Big Data 123

Smart Data Collective

NOVEMBER 29, 2021

Data analytics has become a very important element of success for modern businesses. Many business owners have discovered the wonders of using big data for a variety of common purposes, such as identifying ways to cut costs, improve their SEO strategies with data-driven methodologies and even optimize their human resources models.

Data Analytics 107

Data Analytics Analytics Big Data B2B 107

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies. Curious about the benefits of ERP integration for the future of B2B eCommerce?

B2B 103

B2B Sales Big Data Cost-Benefit 103

Smart Data Collective

NOVEMBER 20, 2022

Examining this crucial data makes it easier to develop personalized techniques to improve your marketing effort. Also, if you’re dealing with other businesses, you can employ big data analytics tools to examine b2b data and find out information such as hidden patterns, market trends, and more.

Big Data 131

Big Data Sales Marketing B2B 131

BizAcuity

APRIL 6, 2022

A majority of online casinos have also started accepting various cryptocurrencies as payments and many B2B gaming providers have been heavily investing in crypto gaming to meet with the rising demand. The post Data Analytics for Crypto Casinos: Significance and Challenges appeared first on BizAcuity Solutions Pvt.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

Srividya Sridharan

JUNE 12, 2019

This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking? (Jeremy Vale and Paolo Santamaria contributed to this post.)

Data Strategy 92

Data Strategy Strategy B2B Data-driven 92

Smart Data Collective

JULY 4, 2021

Business-to-business (B2B) transactions are becoming faster and more secure thanks to various apps and software. On the finance side of businesses, asset management firms are utilizing machine learning with computerized maintenance management systems (CMMS) and data analytics to manage digital assets. For Non-Tech Users.

Machine Learning 142

Machine Learning Management B2B Unstructured Data 142

Smart Data Collective

APRIL 20, 2022

Analytics is the Basis for Successful Telemarketing Strategies. Many small businesses still invest in B2B telemarketing services. Any B2B organization can benefit from outsourcing to a dependable telemarketing firm. They are going to get more valuable leads if they take advantage of analytics technology.

Optimization 98

Optimization Strategy Analytics B2B 98

Smart Data Collective

JULY 20, 2022

Here are some statistics on the importance of AI in marketing : 48% of marketers feel AI makes a greater difference than anything else in affecting their relationship with customers 51% of e-commerce companies use AI to improve the customer experience 64% of B2B marketers use AI to guide their strategy.

Marketing 136

Marketing B2B Strategy Statistics 136

Smart Data Collective

APRIL 4, 2021

In fact, as per stats, 93% of B2B marketers use email channels for distributing content and 72% of customers prefer email as their main channel for business communication. After all, it is believed that most B2B Business would use SFA as a tool to manage their business. It is not that redundant channel many marketers claim to believe.

Data-driven 93

Data-driven Marketing B2B Big Data 93

bridgei2i

FEBRUARY 21, 2020

In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year. With that in mind, here are the latest growth drivers, trends, and developments that will likely shape the world of business data analytics in 2020: 1.

IoT 83

IoT Analytics B2B Deep Learning 83

Srividya Sridharan

SEPTEMBER 10, 2019

Summer’s lease hath all too short a date. It always seems to pass by in the blink of an eye, and this year was no exception. Though I am excited for cooler temperatures and the prismatic colors of New England in the fall, I am sorry to see summer come to an end. The end […].

Data Analytics 81

Data Analytics Analytics B2B IT 81

Srividya Sridharan

OCTOBER 22, 2019

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired!

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

Cloudera

AUGUST 17, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics and edge computing. Finally, one of the biggest challenges in the industry today is monetising 5G. Telcos have been pumping in over 1.5

IoT 93

IoT Internet of Things B2B Data-driven 93

Cloudera

OCTOBER 19, 2022

The telecommunications industry continues to develop hybrid data architectures to support data workload virtualization and cloud migration. The hybrid cloud gives organizations the agility they desire, particularly when thinking about the need to process data quickly and efficiently across several different environments. .

Optimization 77

Optimization Data Architecture Data Governance Digital Transformation 77

AWS Big Data

NOVEMBER 28, 2023

Now, as part of Infosys Cobalt and Infosys Topaz blueprints, enterprises can have near real-time analytics on transactional data, which can help them make informed decisions related to store management. She brings along an expertise in cloud compute and storage, data warehouse, and B2B/B2C customer experience.

Data Warehouse 93

Data Warehouse Data-driven Machine Learning B2B 93

IBM Big Data Hub

SEPTEMBER 26, 2022

Today state health departments around the country are taking the data-leveraging lessons learned during the pandemic and applying them to an array of public health crises affecting underserved groups. Learn how you can take advantage of your data so users make faster, better decisions using the right architecture.

B2B 52

B2B Visualization Data-driven Digital Transformation 52

Cloudera

SEPTEMBER 8, 2020

The current scale and pace of change in the Telecommunications sector is being driven by the rapid evolution of new technologies like the Internet of Things (IoT), 5G, advanced data analytics, and edge computing. Telcos have been pumping in over 1.5

IoT 67

IoT Internet of Things B2B Data-driven 67

Cloudera

SEPTEMBER 17, 2020

Michael Hülskötter, IT blogger & B2B Influencer, IT-techBlog.de. Doug Laney, Principal, Data & Analytics Strategy, Caserta. Chris Marshall, Associate Vice President | Data, Analytics and AI | Future of Intelligence, IDC. Brian Wood, Research Director, Dresner Advisory Services. Security and Governance.

B2B 93

B2B Enterprise Data-driven Data Science 93

Smart Data Collective

MARCH 14, 2022

Data analytics technology is becoming a more important aspect of business models in all industries. They need to leverage analytics strategically to maximize their revenue. Data Analytics is an Invaluable Part of SaaS Revenue Optimization. SaaS companies are no exception. What does SaaS stand for?

Modeling 95

Modeling Analytics Sales Key Performance Indicator 95

Smart Data Collective

JULY 19, 2019

That’s why the company’s products for telecommunications providers include intelligent assurance and analytics tools for customer experience management, OSS service desk, integrated assurance and OSS/BSS data analytics.

Big Data 79

Big Data Internet of Things IoT B2B 79

CIO Business Intelligence

MAY 10, 2023

That’s why Zuellig Pharma had invested heavily in data and data analytics, becoming a pioneer in the use of blockchain as part of their solution on traceability. The pharmaceutical company wanted to build an ecosystem of solutions that will better connect patients and their pharma clients.

Enterprise 52

Enterprise Digital Transformation Internet of Things B2B 52

Smart Data Collective

MARCH 24, 2020

Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. One poll found that 53% of businesses were using big data analytics in 2017. However, companies need to use big data wisely.

Big Data 112

Big Data B2B Data mining Sales 112

Cloudera

AUGUST 28, 2020

The real opportunity for 5G however is going to be on the B2B side, IoT and mission-critical applications will benefit hugely. Currently, consumers have a wired fiber connection at home too but with 5G it opens up the possibility to provide fixed wireless access as well. .

IoT 108

IoT Machine Learning B2B Testing 108

BizAcuity

FEBRUARY 15, 2019

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC.

Sales 67

Sales Analytics B2B ROI 67

Smart Data Collective

SEPTEMBER 6, 2020

Data analytics is revolutionizing the future of ecommerce. A growing number of ecommerce platforms have expressed the benefits of data analytics technology and incorporated them into their solutions. How much of a role will big data play in ecommerce? billion on big data by 2025.

B2B 105

B2B Data Analytics Analytics Cost-Benefit 105

Andrew White

APRIL 2, 2020

What the Economist article does nicely is explain the sequence and linkages between each stage of the funding process, through the entire economy, starting with the consumer and then through B2B, including the backstops: banking and ultimately the central banks.

B2B 52

B2B Recreation/Entertainment Optimization Strategy 52

bridgei2i

AUGUST 11, 2020

We’ll be back with more discussions and points of view from the world of data analytics and AI. Listen Now In order to bring more value to the table in post-COVID times, B2B sales organisations today are continuously looking out for the right insights to pursue the right opportunities. Listen Now.

Sales 98

Sales Enterprise B2B Digital Transformation 98

bridgei2i

JULY 8, 2020

This is where data, analytics, and AI is playing a crucial role across the spectrum of descriptive and predictive analytics that we’ve always seen, and increasingly prescriptive AI that is helping senior managers guide decision making in as near real-time as possible.

Digital Transformation 132

Digital Transformation Enterprise Risk Insurance 132

Smart Data Collective

SEPTEMBER 30, 2021

Leveraging big data helps by aggregating information about customer behavior and making predictions about it, which helps target promotions. The finance sector, specifically banks, is using big data analytics to understand transactions and payments and help customers. Data analytics simplifies and personalizes payment methods.

Big Data 127

Big Data B2B ROI Cost-Benefit 127

AWS Big Data

JULY 13, 2023

Identifying key use cases After a number of preparation meetings to discuss business and technical aspects of the use case, AWS and Altron identified two uses cases to resolve their two business challenges: Business intelligence for business-to-business accounts – Altron wanted to focus on their business-to-business (B2B) accounts and customer data.

Optimization 92

Optimization B2B Data Quality Sales 92