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CCaaS is a Vital Tool for Managing Customer Analytics

Smart Data Collective

According to a report we cited last year, 67% of businesses with revenues exceeding $10,000 a year use data analytics. One of the most important reasons companies are investing in analytics technology is to improve their understanding of their customers. However, now all customer analytics technology is created equal.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

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Voice Of The Attendee: Data & Analytics Strategy, AI/ML, CX And Growth

Srividya Sridharan

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!

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From Strategy to Execution: Unleash Your Sales Teams’ Potential Through Seamless Planning & Performance Management

Jedox

It is critical to connect the missing dots to make sales performance management and financial planning and analysis seamless and reveal the complete picture. Performance tracking and reporting along with pipeline, opportunity, and customer analytics help sales teams become more effective in meeting growth targets and company objectives.

Sales 40
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5 Sources of Data for Customer Analytics and Their Benefits

Smart Data Collective

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. Do you know what motivates your customers?

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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Some of the work is very foundational, such as building an enterprise data lake and migrating it to the cloud, which enables other more direct value-added activities such as self-service. In the long run, we see a steep increase in the proliferation of all types of data due to IoT which will pose both challenges and opportunities.

Insurance 250
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Using Analytics to Maximize Revenue with a SaaS Business Model

Smart Data Collective

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. It also helps improve marketing.