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What is Keenlog Analytics?

Utilizing an array of dashboards covering Sales, Purchases, Inventory, and CRM provides you with vital insights into the essential logistics and financial dimensions of your enterprise. Armed with comprehensive analytical data, you are empowered to make strategic decisions that promote both growth and sustainability. Keenlog Analytics significantly contributes to the management of small and medium-sized businesses (SMBs) by facilitating decision-making based on accurate and actionable insights. This platform aids in optimizing logistics operations, tracking performance, and comprehensively understanding the supply chain, while also offering enhanced customer insights and the efficient identification of new opportunities. By merging operational data and harnessing the power of Keenlog Analytics, these functionalities are made available through a single, intuitive platform that is budget-friendly. You can effortlessly monitor key performance indicators and operational metrics throughout the supply chain, enabling real-time assessment of outcomes and performance. Moreover, the implementation of Keenlog Analytics is both rapid and straightforward, greatly improving your visibility into business results almost immediately, thus empowering you to take proactive measures toward achieving your objectives. As a result, your organization can adapt more swiftly to changes in the market and seize opportunities that arise.

What is IBM Databand?

Monitor the health of your data and the efficiency of your pipelines diligently. Gain thorough visibility into your data flows by leveraging cloud-native tools like Apache Airflow, Apache Spark, Snowflake, BigQuery, and Kubernetes. This observability solution is tailored specifically for Data Engineers. As data engineering challenges grow due to heightened expectations from business stakeholders, Databand provides a valuable resource to help you manage these demands effectively. With the surge in the number of pipelines, the complexity of data infrastructure has also risen significantly. Data engineers are now faced with navigating more sophisticated systems than ever while striving for faster deployment cycles. This landscape makes it increasingly challenging to identify the root causes of process failures, delays, and the effects of changes on data quality. As a result, data consumers frequently encounter frustrations stemming from inconsistent outputs, inadequate model performance, and sluggish data delivery. The absence of transparency regarding the provided data and the sources of errors perpetuates a cycle of mistrust. Moreover, pipeline logs, error messages, and data quality indicators are frequently collected and stored in distinct silos, which further complicates troubleshooting efforts. To effectively tackle these challenges, adopting a cohesive observability strategy is crucial for building trust and enhancing the overall performance of data operations, ultimately leading to better outcomes for all stakeholders involved.

Media

Media

Integrations Supported

Amazon EMR
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Delta Lake
Docker
Google Cloud BigQuery
Google Cloud Composer
Google Cloud Dataproc
Google Cloud Storage
Java
Kubernetes
MLflow
Microsoft Azure
MySQL
Python
Scala
Snowflake

Integrations Supported

Amazon EMR
Amazon Redshift
Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Azure Data Factory
Delta Lake
Docker
Google Cloud BigQuery
Google Cloud Composer
Google Cloud Dataproc
Google Cloud Storage
Java
Kubernetes
MLflow
Microsoft Azure
MySQL
Python
Scala
Snowflake

API Availability

Has API

API Availability

Has API

Pricing Information

$200 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

CeleriTech

Date Founded

2011

Company Location

United States

Company Website

celeritech.us/es/keenlog-analytics/

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/databand

Categories and Features

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Categories and Features

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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