Learn more about the technologies with which Artisan works.
Marketing Automation Technologies
E-Commerce & Omnichannel Technologies
Web & Mobile Marketing Technologies
Big Data & Analytics Technologies
Artisan Consultants have experience with a wide range of technologies having led projects in multiple departments bringing domain expertise and work on specific software implementations, use, and maintenance.
Marketing automation refers to the use of technology to automate and streamline marketing tasks and processes. This can include everything from email marketing and lead generation to social media management and analytics. The goal of marketing automation is to make marketing more efficient and effective by automating repetitive tasks and allowing marketers to focus on strategy and creative aspects of their work.The top 10 Marketing Automation tools are:
|1. HubSpot||6. Mailchimp|
|2. Marketo||7. Constant Contact|
|3. Pardot||8. Infusionsoft|
|4. ActiveCampaign||9. SharpSpring|
|5. GetResponse||10. Drip|
It's worth noting that the best marketing automation tool for a particular business will depend on the specific needs and requirements of that business. Some of these tools are more comprehensive, while others specialize in certain areas such as email marketing, lead generation, and analytics. It's important to research and compare different tools to find the one that best fits the needs of your business.
There are many website, blogs and analysts that provide the lists of top marketing automation tools depending on the criteria they use, such as popularity, customer reviews, market share, pricing, etc. You can also find many comparison Resources and guides that can help you understand the features and capabilities of each tool, and how they align with your specific needs and goals. I recommend checking out G2, Capterra, Gartner, TrustRadius, and other review and comparison sites for more information and customer reviews about marketing automation tools.
|1. Salesforce||6. Microsoft Dynamics|
|2. HubSpot||7. Insightly|
|3. Zoho CRM||8. Sugar CRM|
|4. Pipedrive||9. Agile CRM|
|5. FreshSales||10. Apptivo CRM|
Omnichannel tools are software solutions that allow businesses to manage and coordinate their customer interactions across multiple channels such as website, email, social media, phone, and in-person. These tools aim to provide a seamless and consistent experience for customers regardless of the channel they use to interact with a business.Omnichannel tools can be Customer Data Platforms (CDPs) or Experience management tools and typically include features such as customer data management, multi-touch point engagement methods, inventory management, order management, analytics and visualizations. As Omnichannel can have a variety of connotations, discuss various platforms with your Artisan Consultant.
eCommerce tools refer to software and platforms that help businesses create and manage an online store. These tools can include features such as inventory management, payment processing, shipping and tax calculations, customer management, and analytics. eCommerce tools can also integrate with other business systems such as CRM and marketing automation tools to provide a more seamless experience for businesses and their customers.
The top 10 eCommerce tools are:
|1. Shopify||6. Wix eCommerces|
|2. BigCommerce||7. quarespace Commerce|
|3. WooCommerce||8. OpenCart|
|4. Magento||9. ig Cartel|
|5. Salesforce Commerce Cloud||10. Volusion|
It's worth noting that the best eCommerce and Omni-Channel tools for a particular business will depend on the specific needs and requirements of that business. Some of these tools are more comprehensive, while others specialize in certain areas such as inventory management, payment processing or website design. It's important to research and compare different tools to find the one that best fits the needs of your business.
|WEB MARKETING||MOBILE MARKETING|
|Web marketing technologies refer to the various tools, platforms, and software used to promote and market products or services online. These technologies can include search engine optimization (SEO), pay-per-click (PPC) advertising, social media marketing, email marketing, and more.||Mobile marketing technologies refer to the various tools, platforms, and software used to promote and market products or services on mobile devices. These technologies can include SMS messaging, mobile apps, mobile web, QR codes, and more.|
|Some popular mobile marketing technologies include:|
CLOUD, ON-PREMISE, AND HYBRID DEPLOYMENTS
Cloud refers to delivery of computing services, including servers, storage, databases, networking, software, analytics, and intelligence, over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.
NOTE: Software as a Service (SaaS) is a software delivery model in which software is hosted by a third-party provider and made available to customers over the internet. SaaS applications are typically accessed through a web browser and can include a wide range of software such as customer relationship management (CRM), enterprise resource planning (ERP), human resources management (HRM), and marketing automation.
There are many major vendors and offerings in the cloud and SaaS space.
The 3 largest core cloud infrastructure players are:
- Amazon Web Services (AWS): Amazon's cloud computing platform offers a wide range of services, including computing power, storage, and databases.
- Microsoft Azure: Microsoft's cloud computing platform offers services such as virtual machines, storage, and databases.
- Google Cloud Platform (GCP): GCP offers services such as computing power, storage, databases, machine learning and artificial intelligence capabilities.
"Hybrid" and "on-premise" are terms used to describe different types of deployment models for software and technology solutions.
“Hybrid” refers to a combination of on-premise and cloud deployment models. In a hybrid deployment, some elements of the software or technology solution are run on the customer's own servers (on-premise), while others are hosted by a third-party provider and accessed over the internet (cloud). This can provide a balance of control and flexibility, allowing businesses to keep sensitive data on-premise but still take advantage of scalability and cost-effectiveness of cloud.
Hybrid solutions are popular as businesses take advantage of the benefits of cloud computing, while maintaining security and control on-premise.
“On-premise” refers to software or technology solutions that are installed and run on the customer's own servers and infrastructure. This deployment model offers businesses greater control over their data and the ability to customize their technology solutions to meet their specific needs. However, on-premise solutions can be more expensive to maintain and upgrade, and may require specialized IT resources to manage and support.
On-Premise solutions are still popular among industries such as finance, healthcare and government where data security and privacy are of paramount importance and they prefer to have more control over the data and infrastructure.
Big data refers to the large volume of structured and unstructured data that is difficult to process and analyze using traditional techniques.
Tools associated with big data are designed to handle and analyze this large amount of data in an efficient and cost-effective manner.
Some of the key tools and technologies used in big data include:
- Hadoop: Open Source framework used for distributed storage and processing of large data sets. Hadoop Distributed File System (HDFS) for storage and the MapReduce programming model for processing.
- Spark: Open Source, distributed computing system that is used for large-scale processing. Handles batch and real-time data, known for processing speed.
- NoSQL databases: Databases designed to handle big data. Examples include MongoDB, Cassandra, and Hbase.
- Data visualization tools: Tools used to present big data in a visual and easily understandable format. Examples include Tableau and QlikView.
- Machine learning: Algorithms used to analyze/make predictions from big data. Examples include random forests, k-means clustering, neural networks.
Data Governance tools are used to ensure that data is managed, protected and used in compliance with organizational policies and regulations.
Some of the main Data Governance tools include:
- Data cataloging/discovery tools: Used to discover, classify and understand data assets. Examples include Informatica MDM, Collibra, and Alation.
- Data quality tools: Used to ensure data is accurate, complete, and consistent. Examples include Informatica Data Quality and Trillium Software.
- Data lineage tools: Trace the origin and movement of data throughout the enterprise. Examples include Informatica Data Quality and ER/Studio.
- Data security tools: Used to protect data from unauthorized access or breaches. Examples include IBM Guardium, Imperva, and Oracle Data Masking.
- Data privacy tools: Help organizations comply with data privacy regulations, like GDPR and CCPA. Examples: OneTrust, Privicera, and TrustArc.
- Data archiving/retention: Store, manage dispose of data according to retention policies/regulations. Examples: Informatica Archiving and Puredisk
- Data virtualization/access governance: Create simplified methods for governing access to data. Examples: Starburst, Denodo, Velotix, Immuta, Okera
Artisan Consultants strategize and implement and/or optimize and maintain these technology systems for organizations of all sizes.