## Agentic BI & Data Science

# A fully equipped data scientist at your disposal 24/7.

##### Problem

## Addressing the Shortage of Data Scientists for Decision Intelligence

#### 70% of orgs. have a resource gap

7 out of 10 organizations do not feel they have the necessary skills to leverage data science effectively.

#### Only 10% of data is accessible

Enterprise has only accessed 10% of its data, leaving a massive amount of business value unrealized.

#### 3+ month wait time for insights

Data science teams take an average of over 3 months to deliver decision intelligence.

##### Solution

## Make decision intelligence accessible to all of enterprise with Howso’s Agentic Data Science.

#### No-Code

Perform complex analyses through intuitive interfaces and simple natural language queries.

#### No Models

Howso built the industry’s only explainable, performant alternative to neural networks. We eliminate bias, hallucinations, and drift, so you can get results you can understand and trust.

#### Complete Data Democratization

Why wait months for decision intelligence? Now, managers, marketers, analysts, and operators have the tools they need to make data-driven decisions in hours.

##### Core Capabilities

## The only AI Agent with explainability and attribution at every turn.

#### Data Insights

Our data insights are derived directly from your data and tell you predictability of features, feature importance, anomalies, and marginal statistics right out of the box.

#### Causal Inference

Howso’s Causal AI goes further by helping you develop a more nuanced understanding of cause-and-effect relationships within your data.

#### What-if Analysis

Empower non-technical teams to make more informed strategic decisions based upon _what-if_ scenarios which showcase how different features impact outcomes.

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## Explore Agentic Data Science Solutions

Ready to enhance your data science capabilities? Discover how our agentic solutions can help you build trust in data/AI and maximize ROI.

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##### Benefits

## The Business Value of Agentic Data Science

### 5x

the # of employees making data-driven decisions.

### 93%

reduction in time to gather decision intelligence.

### 22%

improved decision accuracy.

### 100%

visibility into Generative AI decision making.

##### Use Cases

## Marketing

A marketing team automates the integration and preparation of real-time customer data from multiple sources, enabling them to launch personalized campaigns within hours instead of days, boosting campaign effectiveness by **20-35%**.

## Banking

A banking team streamlines real-time data pipelines to monitor employment and regional economic indicators, enabling proactive loan restructuring programs that reduce defaults by an additional **10%** and improve customer retention by **25%**.

## Supply Chain

Factory managers build dynamic, scalable data pipelines for supply chain simulations, reducing the time required for impact analysis by **50%** and enabling cost savings of up to **30%** through more agile logistical adjustments.

## Start Your Agentic Data Science Journey Today

### Transforming Data into Actionable Insights

In today's fast-paced business environment, organizations struggle to harness the full potential of their data. Traditional data analysis methods often require specialized knowledge, leaving non-technical teams at a disadvantage. By leveraging Agentic AI, businesses can transform complex statistical results into clear, actionable insights that empower managers and operators. This shift not only reduces analysis timelines by 30-50% but also democratizes data access, allowing teams to make informed decisions swiftly and effectively.

The ability to activate previously unused data—estimated at 50-70%—is a game changer for organizations. By equipping non-technical managers with intuitive tools, businesses can enhance decision accuracy by over 20%. This newfound agility in data-driven decision-making enables organizations to capitalize on insights that would otherwise remain dormant, ultimately driving growth and innovation in a competitive landscape.

### Empowering Non-Technical Teams with Causal AI

One of the standout features of Agentic AI is its capacity for what-if scenario modeling, which allows non-technical teams to simulate various business outcomes without the need for complex coding or modeling. This no-code interface empowers business managers to explore different scenarios and understand the key drivers behind their data. By using Causal AI, teams can make smarter decisions that are grounded in a clear understanding of causal relationships, thereby improving decision accuracy by 20% or more.

Real-world applications of this technology highlight its effectiveness across various sectors. For instance, a non-technical marketing team can quickly identify the causal factors behind customer churn and implement retention strategies in a fraction of the time it would typically take. Similarly, supply chain teams can simulate logistical adjustments to minimize delivery delays, all without requiring extensive data science expertise. This empowerment of non-technical teams not only accelerates decision-making but also fosters a culture of data-driven innovation within organizations.