Tag: Crm

Business in a dynamic environment no longer considers data a luxury; it’s the fuel that makes wise decisions and drives business success. Imagine real-time insights at your fingertips regarding your customers or the ability to identify operational inefficiencies buried in data sets. Be empowered to drive growth by making data-driven decisions that enable you to optimize marketing campaigns and personalize customer experiences.

However, unlocking this potential is where many of the SMBs struggle. Traditional data analytics solutions often come with fat price tags, thereby positioning themselves beyond companies with limited resources. But fear not! That doesn’t mean it has to be a barrier to entry into the exciting world of data-driven decision-making.

What are data democratization and self-service analytics?

Data democratization means extending access to organizational data to all employees, regardless of their technical nature. It essentially rests on the very foundation that the availability of data should be such that everybody in the entity can get access to information for making decisions and creating a culture that is transparent and collaborative in nature.

Self-service analytics involves tools and platforms that allow users to perform analysis on their own, outside the IT department. They are designed to be user-friendly enough for people in other functions within a company to generate reports, visualize trends, and extract insights on their own from any data they may want.

For small and medium-sized businesses, the benefits that come from data democratization and self-service analytics are huge:

Empower Employees to Make Data-Driven Decisions:

Arm workers at all levels with the ability to make more informed decisions that will have improved outcomes and innovative implications by providing them with relevant data and the proper tools with which to analyze it.

Improve Operational Efficiency:

Much of this IT bottleneck is removed through self-service analytics, improving operational efficiency and increasing decision-making at high speeds.

Gain Insights from Customer Data:

With data democratization, SMBs can get a closer look at customer behavior and preferences to ensure better customer experiences and focused marketing.

Basically, data democratization and self-service analytics democratize the power vested in data to drive efficiency, innovation, and growth within SMBs.

To Know More, Read Full Article @ https://ai-techpark.com/data-democratization-and-self-service-analytics/ 

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Can you tell us about your journey and what motivated you to co-found ForwardLane, particularly focusing on AI’s role in financial services?

My journey into fintech came to me when I worked at the multi-asset alternative asset manager, CQS. There, we could find insights and act on them far ahead of financial institutions. When I saw how difficult it was for advisors to get to insights, I came up with the vision of an AI co-pilot for every financial advisor. With EMERGE, that vision is now a reality. EMERGE analyzes all your data to uncover opportunities and deliver insights tailored to each user and client.

ForwardLane is known for its proactive and personalized advisory platform. How does AI play a pivotal role in achieving this level of personalization and what sets it apart from traditional approaches?

EMERGE combines AI, data aggregation of portfolio, market data, marketing, behavioral, demographic and psychographic and natural language generation to provide hyper-personalized guidance. Imagine having a data scientist, a personal communications coach, and a strategist dedicated to each client – that’s the power of EMERGE. It detects signals and recommends next actions unique to the individual.

You’ve been a noted commentator on AI’s application in financial services. Could you share some specific examples of how AI has benefited asset managers and insurance distribution?

EMERGE digests and learns from your data enterprise-wide to reveal new distribution opportunities. It informs your sales teams which clients to focus on and what to talk about. It can create advisor profile briefs on the fly, and then recommend an engagement plan. The ROI can be game-changing.

ForwardLane’s AI platform combines NLP with enterprise data aggregation. Could you elaborate on how this combination enhances client engagement and provides personalized content?

EMERGE’s hybrid AI extracts insights you never knew existed from both structured and unstructured data. This gives a 360-degree view of each client by connecting the dots across siloed datasets. EMERGE GPT has all of these insights to seed accurate answers and provide advice on how to engage clients effectively.

In the context of ForwardLane’s offerings, could you explain how the API framework seamlessly integrates insights into existing workflows and CRM systems?

EMERGE seamlessly integrates guidance into your existing platforms. Imagine having your CRM proactively guide your next best action for each client interaction.

You have expertise in a wide range of areas including global capital markets, derivatives, and high-performance applications. How have these areas of expertise contributed to the development of ForwardLane’s technology and solutions?

My background in hedge fund quant finance, high-performance computing and high-frequency trading technology allows EMERGE to leverage institutional-grade analytics in a turnkey platform. The inefficiencies in large organizations, led us to create new tools to make life easier for enterprise users. EMERGE democratizes insight creation, data science, effective communications and client engagement for all users

To Know More, Read Full Interview @ https://ai-techpark.com/aitech-interview-with-nathan-stevenson/

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