The Client is a leading recruitment company based in the United States. The Client built an AI-powered Applicant Tracking System (ATS) specifically designed to recruit teams and to manage the entire lifecycle of the hiring process with speed, simplicity, and automation. The platform offers an intuitive interface to build a candidate pool from LinkedIn with AI-driven candidate rankings for a specific job posting, and is integrated with Outlook and Gmail. With flexible subscription options, mobile access, and dedicated migration support, the platform empowers recruiters to streamline the hiring pipeline, improve candidate engagement, and make targeted hiring decisions without the complexity and shortcomings of traditional ATS platforms.
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Choose the Right Software Development Partner
The investment and time required to conceive, design and develop a software product can be overwhelming and there are many ways a business can get off track. If your organization is to be successful in this effort, the software product you conceive must be developed and maintained to satisfy the specific use cases for consumers and users and the objectives of the organization and the product vision. It must comply with industry and government standards and with the business plan and financial projections for the product.
Your business may have a really great idea for a software product but your IT team probably doesn’t have the time to work on this kind of project and, even if they do, it isn’t likely that you will have all of the required skills in-house.
‘When considering a software services partner, look for a full suite of technical skills, cutting-edge technologies, software skills and related software services including Artificial Intelligence (AI), and Low-Code, No-Code (LCNC) platforms, and Minimum Viable Product (MVP) experience.’
Gartner identifies Ten (10) Critical Capabilities for Development Services:
- Business Acumen, Design (User & Customer Experience)
- AI/ML Expertise
- API and Integration Services
- Analytics and BI Service Experience
- Software Engineering Approaches
- Multi-experience Development
- Talent Operations
- Technical Architecture and Cloud
- Quality Engineering
- Modern Engineering Approaches
Software Product Development is not the same as simple application development or a custom business software project. A software product will be used by consumers and end-users, and the project lifecycle must ensure compliance with appropriate industry and government security standards, and include product testing to protect the business from risk and legal issues. The product roadmap must include a clear vision for upgrades and customer engagement, and the functional and technical architecture should be scalable to accommodate needs in future.
The software product development and design process includes product ideation, competitive analysis, technical feasibility, product roadmap management, Minimum Viable Products (MVP), product development, implementation and timely upgrades of the product to satisfy the ever-changing user and technology needs. If your organization is to be successful in this effort, the software product you conceive must be developed and maintained to satisfy the specific use cases for consumers and users and the objectives of the organization and the product vision. It must comply with industry and government standards and with the business plan and financial projections for the product.
The software product development process must include:
- Management of Project Goals, Use Cases and Objectives
- Product Requirements Definition, Evolution and Management
- Product Roadmap and Backlog Management
- Risk Mitigation
- Market Analysis
- Comparative Analysis
- Functional and Technical Feasibility
- Roadmap to Accelerated Growth and Market Success
- Product Ideation and Market Gap Analysis
- Minimum Viable Product (MVP) Design And Development
- Usability, User Experience Design and UI Development
- Product Roadmap Definition and Backlog Management
- Technical Feasibility for Scalable and Sustainable Architecture
- DevOPs Setup and Management
- Product Architecture Design
- Product Version Management and Documentation
- Product Development, Maintenance and Support
- Product Implementation and Integration
- Product Testing and Release Management
- Product User Acceptance Testing (UAT)
- Software Product Upgrades, Migration, and Release Management
- Software Product Re-Engineering
When considering a software services partner, look for a full suite of technical skills, cutting-edge technologies, software skills and related software services including Artificial Intelligence (AI), and Low-Code, No-Code (LCNC) platforms, and Minimum Viable Product (MVP) experience.
In this evolving tech-driven world, it is difficult to ascertain whether a software product will survive and thrive in the market, and a business should not leave this result to chance. Before the enterprise commits to the expense and time involved in software product development, it should consider the benefits of a Minimum Viable Product (MVP).
An MVP product has just enough features, and is just functional enough for beta or early customers to use. These early users will provide feedback to be used in comprehensive product development. Businesses can leverage MVP product development to quickly, and cost-effectively gather feedback on a product, and to assure an appropriate product-market fit. In so doing, the business can avoid a lengthy, costly product development process that may result in failure, may include features or functionality customers do not want, or may leave gaps in functionality that are important to customers and clients.
‘The software product development and design process includes product ideation, competitive analysis, technical feasibility, product roadmap management, Minimum Viable Products (MVP), product development, implementation and timely upgrades of the product.’
A comprehensive suite of product development services is necessary to ensure that the scope, budget and schedule of your software product remain intact and that your software product is deployed and upgraded successfully.
Contact Us to find out how our Product Development Services can support your software applications, Minimum Viable Products (MVP), mobile application, your Artificial Intelligence (AI) initiatives, or software product ideas, and improve team productivity, and optimize resources. Explore our free articles here: ‘5 Critical Areas Of Focus For Software Product Development Partner Selection,’ ‘3 Critical Considerations For Software Product Development vs. Application Development,’ and our white paper, ‘Return On Investment: The Cost vs. Value Equation For Offshore Software And Technology Projects.’
Two domain experts join hands to provide exceptional value to DELMIAworks users.
Ahmedabad, Gujarat, India —
SMARTEN, the flagship advanced analytics platform from Elegant Microweb Technologies Pvt. Ltd and Arisoft, an award-winning partner renowned for reselling and implementing DELMIAworks ERP, are thrilled to announce a strategic partnership aimed at delivering transformative value to businesses that operate DELMIAworks. This offering will be available to all DELMIAworks customers worldwide, with a special focus on the USA, Canada, Europe, and the Far East.
The Partnership
This collaboration combines SMARTEN’s cutting-edge analytics capabilities with Arisoft’s proven track record in DELMIAworks ERP implementation and support. By joining forces, the two companies aim to empower organizations with actionable insights, predictive models, anomaly detection, and monitoring through dashboards and advanced drill-down capabilities.
This will enable more effective decision-making for DELMIAworks users, reducing losses and improving planning and management.
Key Benefits of the Partnership
- Ready-to-use solution for all DELMIAworks customers. Short implementation cycle of 10 days.
- Short implementation cycle and self-serve data analytics, which allow domain experts to do advanced analytics, makes this a very cost-effective offering.
- Leverages the expertise of an award-winning DELMIAworks partner and a development as well as implementation team of SMARTEN, advanced analytics.
- The partnership will provide DELMIAworks customers with solutions for monitoring, dissecting, and analysing data, as well as creating their own dashboards.
- The solutions include Predictive Analytics as well as Anomaly detection, which are built in, and more can be developed by the end customer.
- Focused solely on DELMIAworks, the solution is designed to meet customer expectations, as each partner in the joint venture is familiar with every data point, from the data structure to the customer’s specific needs.
Executive Quotes
Kartik Patel, CEO of SMARTEN, commented: “We believe that our partnership with Arisoft will set a new standard for analytics-driven solutions for DELMIAworks customers. Together, we can help businesses realize the full potential of their data.”
Imtiaz Lodhi, Managing Director at Arisoft, added: “This alliance allows us to offer our clients unmatched value—pairing the power of DELMIAworks ERP with advanced analytics for smarter, faster decision-making. Our expertise in DELMIAworks and SMARTEN’s expertise in analytics will provide a unique, ready-to-use solution for the customer.”
About SMARTEN
SMARTEN, an offering by Elegant Microweb Technologies Pvt Ltd, is an advanced analytics platform that turns raw data into valuable business intelligence. SMARTEN serves organizations worldwide with its unique offering, which supports customers in monitoring their business, drilling down from KPIs to Root Causes, receiving exception reports when something requires immediate attention, and utilizing diverse predictive analytics. The platform is mentioned in multiple Gartner reports and has provided value to customers across domains.
About Arisoft
Arisoft is a leading partner of DELMIAWorks (formerly IQMS) with a strong presence across the USA, Canada, the Middle East, and the Far East. It was awarded “Partner of the Year – 2023” at 3DEXPERIENCE WORLD 2024 in Dallas, Texas, recognizing its expertise in ERP, MES, IoT, and digital transformation. Arisoft’s consistent delivery of high-impact ERP solutions underscores its commitment to innovation and long-term client success in the manufacturing sector.
DELMIAworks is a manufacturing ERP (Enterprise Resource Planning) software solution that combines factory floor process control with ERP functionality.
For more information on this partnership, please visit www.SMARTEN.com or www.arisoftglobal.com
Is Digital Transformation (Dx) Important for Small and Medium Businesses?
The objective of the Digital Transformation (Dx) approach is to increase the value of business products and services and optimize resources, customer satisfaction and business efficiency and innovation. Small and Medium enterprises (SMEs) may believe that these initiatives are not for them. But with careful planning and domain focus, SMEs can achieve numerous benefits, and improve productivity, revenue and customer satisfaction.
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Should I Have One, Two, Three or More BI Tools?
Whether your business wishes to implement its first business intelligence solution, or you wish to upgrade your solution to satisfy additional requirements, or your business divisions have diverse business needs, the RIGHT business intelligence and augmented analytics solution is crucial. To protect your Return on Investment (ROI) and reduce your Total Cost of Ownership (TCO), you must select a solution that will suit all your team members, and be flexible enough to grow with your organization and provide support now and in the future.
Gartner names 12 mandatory and common features of a comprehensive BI tool, which includes:
- Data visualization
- Governance
- Reporting
- Analytics Catalog
- Data preparation
- Data science integration
- Automated insights.
- Metrics layer
- Data storytelling
- Natural language query (NLQ)
- Collaboration
- Composability
For many businesses today, the decision can lead them down a winding path to the question: ‘Can I truly find one solution to suit all my needs and, if I can’t, is it possible to successfully combine and integrate more than one BI tool?’
Let’s take a closer look at these questions in an effort to help you understand the tradeoffs and the decision-making process.
Choosing ONE BI Tool
Benefits
- Data Centralization – Team members can seamlessly access a single data solution
- Provides a centralized, simplified platform for user management and access rights
- Maintenance and Administration – The IT team has only one system to manage
- Reporting – Dashboards and reports leverage one data model, and reporting formats and scenarios are uniform and interconnected
- Ensures one focused, experienced IT and technical team
Challenges
- Scalability – As your organization grows, you may have issues supporting an expanded user base and data volume
- Performance Issues – For organizations with a large data volume, users may experience a lag in response time
- Data Security – If your business has multiple business units, the administration of a single solution may be a challenge, as the model will require multi-layered, granular security and permissions
- Constrains the business to one solution, with one roadmap for the future provided by one vendor
Choosing Multiple Solutions
Benefits
- Scalability – Smaller, more modular solutions allow the organization to execute development independently without affecting other systems
- Performance – User experience (Ux) for dashboards and reporting is likely to be better, with suitable speed and responsive dashboards and reporting
- Support – Each independent module or solution can be supported independently without affecting other solutions
Challenges
- Duplicate Data or Analytics – If proper architecture is not in place, the systems may duplicate data or analysis or a system may use the wrong model for reporting
- Integration – Combining and integrating multiple systems requires a sophisticated roadmap to accommodate cross-functional reporting and analytics and data access
- Continuity – Data mapping, distribution and consistency can be a challenge
- User Management and Access Rights – It can be challenging to manage these processes across disparate platforms
- Technical and IT – Multiple tools require expertise across all frameworks and platforms
These are just a few of the examples of benefits and challenges of the one vs. many approach of business intelligence solutions. While the temptation to consolidate and choose one tool can seem practical, the enterprise should consider the benefits and the challenges of each approach and compare them to their needs. Each tool may offer specific benefits that cannot be achieved by a one solution approach, and may better address user expectations and needs and satisfy the goals of the organization.
For a long time, the analytics industry has touted the idea of ‘best of breed,’ and there is a case to be made for choosing the ‘best’ for each scenario. Gartner’s most recent Magic Quadrant places 6 of 20 vendors in the niche quadrant and many of these niche vendors may offer solutions that meet a specific need within your own enterprise. So, don’t be too quick to eliminate the possibility of multiple solutions.
Many CIOs think that at standardization on one platform should always be considered at the enterprise level. While that approach has its advantages, it has lot of disadvantages too.
Advantages include:
- One vendor, one relationship
- Concentrated skill set within the team
- A simple, uncluttered application landscape
Disadvantages include:
- Commitment to one vendor (who may or may not be dependable)
- Enterprise is confined to one vendor roadmap, limitations, upgrades and future development
- One solution platform limits enterprise platform choices and flexibility
- One tool may not satisfy niche or specific use cases across all divisions, departments and teams
While a one solution choice may work for a smaller organization or one without complex needs, you may wish to consider a balanced approach. When you strike a balance using a practical, limited best of breed approach, you can address the needs of specific business units or users. Be judicious about your choices, so as not to clutter the application landscape with too many applications and complicate your architecture.
You may wish to choose one solution for enterprise IT reporting, or one for smart data visualization for business users, or one that supports Citizen Data Scientists, or a tool that is focused on big data processing. Your assessments should be based on your use cases, user needs, license needs, budget, etc. While some organizations use as many as five (5) BI tools, the enterprise should limit their expansion to 2-3 tools in order to avoid chaos in integration, maintenance, the need for IT skills, costs etc.
While the assessment of needs and requirements for ANY software solution can be time consuming, it does pay off in the end and, especially if you are considering multiple BI tools, it is worth taking the time to thoroughly assess your needs so your business can create the ideal analytical landscape for IT, data scientists, business analysts and business users.
Contact Us to discuss your analytical needs and to find out more about Modern And Traditional BI Tools, Augmented Analytics solutions, Citizen Data Scientist training and the process of choosing the right Analytics Solution for your business. Explore our free White Papers: ‘Enabling Business Optimization And Expense Reduction Through The Use Of Augmented Analytics,’ and ‘A Roadmap To ROI And User Adoption Of Augmented Analytics And BI Tools.’
Original Post : Is One BI Tool Enough or Do I Need More?
Embedded BI is Key to Return on Investment (ROI)
Your business probably spent a lot of time developing a strategy for business intelligence and data democratization. That is time well spent! You want to roll out the solution with care and be sure that your team members, managers and IT staff are ready to use and support the software and to make the most of the investment.
If your business chose the right solution, you will have seamless integration of information from disparate data sources so your team will have the information they need to gather, analyze and present information for confident, swift decision-making and improved results.
‘With the right business intelligence software and embedded BI capabilities, your business can improve overall organizational value for BI tools, provide unique solutions and integration with analytics without significant investment, and improve user adoption and return on investment (ROI) for business intelligence technology.’
There are numerous factors that affect user adoption of business intelligence solutions but one of the primary considerations is ease of access and use. No matter your business industry or environment, there is no doubt that your team members have learned to use critical enterprise applications and perhaps even software and apps that are unique to their role or their division or department.
When a business introduces new software, most users are hesitant to embrace it – not necessarily because they are lazy or resistant, but because they are often overwhelmed with workload and perhaps because they perceive that the time spent to learn this new solution may not provide the value they need.
Of course, it is crucial to choose an easy-to-use, personalized BI tool, but it is equally important to choose a solution with embedded BI capability.
67% of companies say time spent in their applications increased after they embedded analytics.
Seamless integration of Augmented Analytics and Business Intelligence Objects with easy to use, scalable integration APIs ensures that your team has the power of integrated business intelligence when and where they need it, with simple, easy-to-use analytics integration within enterprise and business applications in a single sign-on environment.
Business users can access augmented analytics and BI tools from within their enterprise applications or mobile apps. Engender business intelligence data democratization and alleviate user frustration with real business user solutions and deep dive capabilities. Provide user access within their favorite applications to improve user adoption of business intelligence tools, and engender collaboration, data sharing and fact-based decisions.
The team member can access analytics from within popular, familiar apps and software and use analytics in a single sign-on environment to gather and analyze data for presentation and sharing.
Users have access to embedded BI objects from within the selected application so they can view and use integrated dashboards, cross-tab analytics, key performance indicators (KPIs), graphs and reports.
‘There are numerous factors that affect user adoption of business intelligence solutions but one of the primary considerations is ease of access and use.’
With the right business intelligence software and embedded BI capabilities, your business can improve overall organizational value for BI tools, provide unique solutions and integration with analytics without significant investment, and improve user adoption and return on investment (ROI) for business intelligence technology.
You can find out more about the Smarten Embedded BI And Integration APIs solution and add powerful functionality and access to existing ERP, SCM, HRMS, CRM or any other products. Provide analytics capabilities within existing products without major Investment. Your business users and your customers will appreciate the ease-of-use and access and you will gain a competitive advantage. Read our White Paper: ‘Making The Case For Embedded BI And Analytics.’
Original Post : Embedded BI Tools Ensure User Adoption and Great ROI!
Choosing a Mobile Solution to Integrate with Tally
If your business is using Tally ERP or Tally Prime and you wish to increase employee productivity and provide seamless access to data within and outside the walls of the office, you can make the most of your resources and knowledge and integrate your Tally data within a mobile environment to enable user adoption and make it easier for your team to gather, clarify and understand data to make confident decisions.
Nearly 80% of IT executives said employees cannot do their jobs effectively without a mobile phone, and three-quarters said mobile devices are essential to workflow
‘If you wish to further enhance the use of Tally products within your business and provide the tools and information your team will need to support enterprise goals and objectives, to become more productive and to improve decision-making, you must focus on the capabilities, technology and vendor support of the prospective mobile solution to ensure that the product and services will fulfill your requirements and adequately serve your Tally solution users.’
Integrate Business Intelligence within your Tally solution and make the data within your Tally product(s) available to your team day or not, on the road or in the office, to improve productivity, ensure data-driven decisions and increase employee collaboration.
As you consider mobile access solutions and data access, review the prospective solutions for the following features and capabilities:
- A native mobile application that communicates with a cloud server to fetch and display requirement data, graphs and reports
- Security interactions and transactions
- Clear visualization, dynamic charts and graphs
- Modern business intelligence (BI) features
- Seamless mobile access for users working outside the office and in remote locations
- Near real-time access to recent transactions
- Ability to deploy mobile app and tools without extensive training and expense
- Dependable support
- Ability to share reports via PDF and XLS download, and WhatsApp, email and other options
- Rapid application loading
- Single sign-on user access
- Mitigate costs for customization and integration
- Keep pace with Tally solution upgrades
In order to enable and encourage users and make your team more productive, the selected solution must be seamlessly integrated and allow users to easily access the familiar Tally solution and use the data contained therein to gather data and produce reports, share information with other users and make swift decisions.
‘Integrate Business Intelligence within your Tally solution and make the data within your Tally product(s) available to your team day or not, on the road or in the office, to improve productivity, ensure data-driven decisions and increase employee collaboration.’
Adding integrated mobile BI tools and mobile access to Tally modules and features does not have to be difficult. If you wish to further enhance the use of Tally products within your business and provide the tools and information your team will need to support enterprise goals and objectives, to become more productive and to improve decision-making, you must focus on the capabilities, technology and vendor support of the prospective mobile solution to ensure that the product and services will fulfill your requirements and adequately serve your Tally solution users.
Find out how mobile SmartenApps For Tally can support your small business team and extend access to your Tally ERP or Tally Prime solution with access and features that offer accounting, finance, sales, inventory, and purchasing professionals and team members the tools they need to improve performance.
Original Post: How Can Mobile Access Add Value to My Tally Solution?
Agentic AI Optimizes Resources and Productivity
For the last several years, the buzz in the technology domain and in the consumer market has been about Artificial Intelligence (AI). AI is everywhere and it is impossible to avoid it
One of the more recent developments in this arena is Agentic Artificial Intelligence. Agentic AI takes AI to the next level with systems that can make decisions without human intervention.
Gartner predicts that ‘Agentic AI will introduce a goal-driven digital workforce that autonomously makes plans and takes actions – an extension of the workforce that doesn’t need vacations or other benefits.’ That’s quite a bold prediction and, if true, it will have a profound effect on the way businesses operate and how team members do their jobs.
‘Today, Agentic AI is used to manage many functions and to make decisions without team member assistance.’
Most businesses today are considering how to incorporate artificial intelligence (AI) into their consumer apps, business applications, websites and mobile applications, or they have already begun to make these changes.
With the advent of Agentic AI, businesses can move more quickly to achieve goals and they can enhance productivity with intelligent solutions that target demographics and specific customer groups, improve technology and resource optimization, create content without human intervention and leverage systems that make autonomous decisions to complete tasks.
The primary advantages of Agentic AI are:
- Integration with Systems – Agentic AI can easily integration with customer relationship management (CRM) and Enterprise Resource Planning (ERP) systems to enhance and execute components of workflow
- Problem Solving – Agentic AI can take in and adapt to new information to solve problems and complete multi-step tasks, using sophisticated reasoning and iterative planning features.
- Decision-Making – Agentic AI can make decisions without human intervention.
- Operates Outside Machine Learning (ML) Environment – Agentic AI goes beyond classic AI-trained models to achieve true process automation.
Today, Agentic AI is used to manage many functions and to make decisions without team member assistance. Here are just a few of the Agentic AI applications a business might consider:
- Virtual Assistants and Schedule Management
- Traffic Navigation for Autonomous Vehicles
- Supply Chain, Inventory and Logistics Management
- Travel Including Flight Scheduling, Lodging and Tour Scheduling
- Data, System and Cybersecurity with Threat Monitoring and Incident Reporting
- Report Creation Incorporating Multi-Media, Multiple Reports and Summaries
- Help Desk Activities to Record Issues, Suggest Solutions and Escalate to Live Agents
- Manufacturing Including Machine, Component and Physical Asset, Scheduled Outages, Maintenance, Alerts etc.
- Research Analysis Incorporating Articles, Data, and Models
- Data Analytics and Data Management to Analyze Data and Generate Insights and Reports in Real-Time
- Content Creation for Targeted Marketing and Advertising Including Automated Tasks, Tracking Performance Monitoring Spending
- Customer Service Including Inquiry Handling, Issue Resolution and Follow-Up
- Technology and Software Development to Analyze, Write, and Fix Code
‘With the advent of Agentic AI, businesses can move more quickly to achieve goals and they can enhance productivity and optimize resources with intelligent solutions that target demographics and specific customer groups, improve technology and resource optimization, create content without human intervention and leverage systems that make autonomous decisions to complete tasks.’
There are many more applications within the realm of Agentic AI possibilities, but this list will give you some ideas to get you started with your own business brainstorming activity.
When you employ expert assistance from a skilled IT partner, your enterprise can leverage Agentic AI And Other Components And Technologies within the Artificial Intelligence (AI) market to gather, produce and analyze information from disparate data sources, and use that data to create products, enhance services, improve productivity and improve market position. Engage a team that is skilled in AI, Data Science, Data Engineering and Predictive Analytics.
Contact Us to find out how Agentic AI and other AI technologies and services can support your software applications, mobile application, or software product ideas, and improve team productivity, optimize resources and advance Digital Transformation (Dx). Read our free blog article: ‘What Is Agentic AI And Why Should I Consider It For Apps?’
Original Post: The New Age of Artificial Intelligence: Agentic AI!
The Client is a leading electric mobility company in India, specializing in high-performance electric two-wheel scooters engineered for sustainable urban transportation. With a robust presence across 200+ cities, the organization leverages lithium-based battery technology, and advanced electric powertrain systems that are tailored to accommodate Indian road conditions.
Self-Serve, Augmented Analytics IS Suitable for Data Scientists
The world of data scientists and business analysts is chock full of data and busier than you might expect – especially today! Businesses have discovered the value of data in decision-making and, as markets and competition shift and change, these businesses have come to depend on IT staff and on data scientists to provide data to make decisions at the department, divisional, operational and strategic level.
The problem is, as always…TIME! There aren’t enough analysts and data scientists, the IT team is busy working on other tasks and the clock does not stop ticking.
And there is one other factor at play in the data analytics movement. As data democratization and data literacy drive the enterprise strategy and business users begin to leverage augmented analytics and business intelligence (BI) tools, the data scientist is also called upon to refine and present analytics and reports created by team members in order to ensure that these are appropriate for more strategic decisions.
The world-renowned technology research firm, Gartner, states that, ‘Data Scientists typically spend more than 40% of time in preparing and enriching data.’
Imagine what you, as a data scientist could do with a data analytics solution that can save time on data preparation and data enrichment!
‘When an enterprise includes data scientists, business analysts and IT staff in the roll-out of augmented analytics and self-serve BI tools, it enables productivity, streamlines and speeds the analytical process and improves results.’
You have the tools and systems for data extraction, transformation and loading (ETL), you have scripting tools like R, you have spreadsheets and more, but using all of those tools to gather, analyze, scrub and present that data takes time.
As a Data Scientist, you have the responsibility and accountability to produce reliable analytics to satisfy all manner of needs within the organization. You never know what corner of the enterprise might need your services but you DO know that your analysis and services must be 100% accurate and dependable. When business users depend on you to produce information on a day-to-day basis, it is nearly impossible to focus on the more strategic, crucial imperatives.
- What if you could more easily derive data from disparate sources and prepare it for analysis?
- What if you could integrate R scripting with advanced analytical tools to take your analysis to the next level?
- What if you can use quick hypothesis and prototyping to choose the right influencers and model accuracy for your project?
- What if you have a platform where you can roll out interactive dashboards, reports and results of your model production environment in minutes?
When an enterprise includes data scientists, business analysts and IT staff in the roll-out of augmented analytics and self-serve BI tools, it enables productivity, streamlines and speeds the analytical process and improves results. Data Scientists can optimize time and resources and to use their core expertise to achieve results. Data Scientists can use self-serve data preparation, to quickly create datasets without deep SQL or ETL skills, and they can use smart data visualization and tools to use output of algorithms in R, Python or other Data Science platforms to leverage existing investments in these technologies, and they can create and roll-out predictive models in a production environment to support the organization and business user needs.
‘Imagine what you, as a data scientist could do with a data analytics solution that can save time on data preparation and data enrichment!’
As business users create analytics for quick decisions and the organization needs to refine this analysis for strategic use, a data scientist can use the same augmented analytics tools to focus on that project and ensure accuracy, collaborating with Citizen Data Scientists and IT to align analytics with key objectives and goals.
With the time your Data Scientists will save, they can focus on the most critical strategic initiatives and move the enterprise forward with fact-based decision-making.
To learn more about Augmented Analytics that are suitable for data scientists, business analysts, IT staff and business users, and explore the potential of Advanced Reporting Tools, Contact Us now.
Original Post: Augmented Analytics CAN Support Data Scientists Too!
