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What is Syft Analytics ?

Syft is utilized by numerous organizations to enhance their business strategies through insightful financial analytics. Experience it today without any credit card obligation. Its striking visualizations, comprehensive reports, and effective forecasts breathe life into your data insights. With features that identify anomalies and assess health scores, you can reduce the time spent on reconciling and auditing data. Continuous monitoring across all enterprises ensures you maintain a clear view of performance metrics. Seamless integration with your preferred accounting or e-commerce platforms allows you to focus on analysis and outcomes without distraction. The infrastructure is designed with security in mind, featuring robust protections on a global network to safeguard your information. Additionally, you can accelerate your learning process by engaging with live instructors or receiving support for transitioning from other tools. This combination of features makes Syft a valuable asset for any organization looking to leverage financial data effectively.

What is Splunk IT Service Intelligence?

Protect business service-level agreements by employing dashboards that facilitate the observation of service health, alert troubleshooting, and root cause analysis. Improve mean time to resolution (MTTR) with real-time event correlation, automated incident prioritization, and smooth integrations with IT service management (ITSM) and orchestration tools. Utilize sophisticated analytics, such as anomaly detection, adaptive thresholding, and predictive health scoring, to monitor key performance indicators (KPIs) and proactively prevent potential issues up to 30 minutes in advance. Monitor performance in relation to business operations through pre-built dashboards that not only illustrate service health but also create visual connections to their foundational infrastructure. Conduct side-by-side evaluations of various services while associating metrics over time to effectively identify root causes. Harness machine learning algorithms paired with historical service health data to accurately predict future incidents. Implement adaptive thresholding and anomaly detection methods that automatically adjust rules based on previously recorded behaviors, ensuring alerts remain pertinent and prompt. This ongoing monitoring and adjustment of thresholds can greatly enhance operational efficiency. Moreover, fostering a culture of continuous improvement will allow teams to respond swiftly to emerging challenges and drive better overall service delivery.

Media

Media

Integrations Supported

Axis LMS
Exact
FreeAgent
FreshBooks
MYOB Acumatica
QuickBooks Accountants
Shopify
Stripe
Xero

Integrations Supported

AXYVOR
BlueCat Gateway
CloudApper iPaaS
CloudFabrix
Evolven
SAP Store
Splunk User Behavior Analytics
The Galileo Suite

API Availability

API Availability

Pricing Information

$19 per month
Monthly and annual plans available.
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Syft

Date Founded

2016

Company Location

South Africa

Company Website

www.syftanalytics.com

Company Facts

Organization Name

Cisco

Date Founded

1984

Company Location

United States

Company Website

www.splunk.com/en_us/products/it-service-intelligence.html

Categories and Features

Anomaly Detection

Not specified

Financial Reporting

"What If" Scenarios
Balance Sheet
Cash Management
Consolidation / Roll-Up
Forecasting
Income Statements
Multi-Company
Profit / Loss Statement

Categories and Features

AIOps

Not specified

Anomaly Detection

Not specified

IT Alerting

Not specified

IT Service

Not specified

Log Monitoring

Not specified

Root Cause Analysis

Not specified

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