Digital Transformation

DIGITAL TRANSFORMATION

Speed-up Digital Transformation with INNOVIK

Robotic Process Automation (RPA) accelerates digital transformation of business processes by automatically replicating tedious actions that have no added value. RPA helps advancement across enterprises. A Robotic Process Automation program encourages each business to perform repetitive undertaking and reduce the manual effort to perform the activities.

Mastering Challenges of Businesses

Manually Data Update

Uploading and maintaining financial journal data are done manually today. Financial accounting staff often extracts journal entry data from Excel files, which can come from third party sources via email.

Time Consuming

Entering the sales inquiries to the system is a very time-consuming task as there is no bulk import functionality. There are dozens of the fields that need to be filled out and when it comes to many lines in the document, it is easy to make a mistake.

SAP Product, Quotation, and Underwriting Management

Configure, manage, and execute product rates, rules, forms, and user interfaces across the full policy lifecycle, including application data capture, qualification, rating, quote management, bind, issuance, and policy endorsement. Keep the cost of product maintenance under control by developing new products based on existing products.

Lack of efficiency

Negligence of companies on investment in CX, becoming a vital challenge on business performance. Now time come-up for top leaders in organization to understand the necessity to invest in fast enough to stay current with technological advancements.

Lacks Access To Necessary Information

Sales order processing constitutes a very important part of the order-to-cash process for enterprises. In most B2B scenarios, internal sales representatives get order requests through Excel spreadsheets attached in the emails sent from customers.

Chances of Information loss

Very often outgoing payment proposal runs result in errors. The user then must figure out why the payment failed, make the correction, then re-execute the run.

Human Errors

The heart of the process is to plan requirements through schedule lines which are created by incoming delivery schedules. In some use cases, the supplier receives the data from the buyer via Email with an Excel or PDF document attached.

Key Features of RPA in SAP

Visual design

Enrich bots with a step-wise order and series of dependencies, add trigger methods for attended or unattended bots and apply APIs and ML services to built bots smart.

Live Migration

GCP provides live migration of apps delivering outstanding reliability and zero maintenance downtime.

Repository

Get into a vessel of automation process that can be re-processed for bot development, publish or use available RPA bots

Prebuilt bots

Accelerates your transformation to SAP S/4HANA with preconfigured content and predefined bots, use the APIs and metadata used behind the operation of bots .

Incremental snapshot solution

As per streamlined incremental snapshot solution, instead of paying for full storage, you will only pay for the difference of data-backups.

Business Activity Monitoring

A series of procedures and events can be added within a Process Automation process for enabling detailed information. The resulting data is stored securely in Cloud Factory.

Need for Intelligent RPA

Transform our Business with Intelligent Robotic Process Automation

Shared Service Automation

Financial Transformation

Operation Automation

Data Management

Customer Service Automation

SAP Intelligent RPA - At a Glance

Automate your business with SAP intelligent RPA

Repetitive And Manual Activities

Organize time-consuming, manual tasks by refining bots that backs error-free, extensive tasks and assist you emphasis on high value-driven processes.

Better Experience

Bring-in new level of operational rapidness and efficiency to respond to customer requirements proactively and augment resources to address more value-driven activities.

Repository

Get into a vessel of automation process that can be re-processed for bot development, publish or use available RPA bots

Reinvent Processes

Cut throughout organisational challenges while driving optimal process models for optimum efficiency and extracting benefit of smart bots to make more sound decisions.

DIGITAL PLATFORM: Innovik DriShti

Speed-up Digital Transformation with INNOVIK

SOLUTION OVERVIEW

A Cloud based Digital Control Room Platform which provides Real-time 360 Degree visibility from new and existing systems to disruptively enhance customer, partner, employee & statutory experiences, thereby leading to increased profits, reduced wastage and loss across the Enterprise.
Enterprise-grade AI & Predictive Analytics offering that leverages advanced Machine Learning (ML) techniques such as vision, semantics, language sequence to help customers across industries to derive insights from their various business models.

Discover and Realize full potential with Innovik the power of machine learning and Artifical Intelliengence

Create, run and maintain intelligent applications in a common infrastructure ,ML finds patterns, learns and understands by recognizing voice, text, images and videos fueling business growth in ways you never imagined possible. Add intelligence to your enterprise applications recognize patterns and correlations in data Learn from data and extract knowledge.

Manufacturing Innovation Accelerator PRODUCTION PERFORMANCE

KEY OBJECTIVES AND BUSINESS VALUE

An initiative aimed at building an ‘Information Culture’ in the Organization and transform to IoT enabled Organization. Business integration and linkage of contents and information to provide 360 degree view. Better integration of information over end‐to‐end processes leading to single point of truth, which would give deep insights into our business operations & performance; Provide a platform for performance comparison with external world; Empowering the business with Information.
Production Performance through machine learning based data integration and advanced analytics.Overall Equipment Effectiveness Management allows to measure and analyze plant performance

Solve your business needs with machine learning

KEY OBJECTIVES AND BUSINESS VALUE

An initiative aimed at building an ‘Information Culture’ in the Organization and transform to IoT enabled Organization. Business integration and linkage of contents and information to provide 360 degree view. Better integration of information over end‐to‐end processes leading to single point of truth, which would give deep insights into our business operations & performance; Provide a platform for performance comparison with external world; Empowering the business with Information.

Production Performance through machine learning based data integration and advanced analytics.

Overall Equipment Effectiveness Management allows to measure and analyze plant performance

Innovik’s first wave of machine learning enabled enterprise applications, tools, and services developed in collaboration with co-innovation customers

Explore our chemicals industry road map to learn about current industry solutions, planned innovations, and future direction.

Plant Monitoring System

Innovik Systech Analytics AI Assembler

Innovik Systech Smart billing

SAP Cash Application

Automate labor-intensive invoice matching processes and free finance professionals to focus on strategy and service quality with SAP Cash Application. Use machine learning to match criteria from your history and automatically clear payments with our next-generation intelligent software.

SAP Service Ticket Intelligence

Accelerate customer service in your omnichannel front office with SAP Service Ticket Intelligence. The application efficiently processes inbound social media posts, e-mails, and other channel interactions by automatically determining classifications, routing, and responses

SAP Brand Impact

Measure and understand the value of your advertising and sponsorship campaigns with SAP Brand Impact. Advanced computer-vision techniques automatically recognise logos in images and videos – giving you accurate, timely insights into marketing ROI.

Our IoT Consulting Services

At any stage of digital transformation your business, whether you’re just getting started or have existing IoT challenges to overcome, our team can help you to develop an IoT road map and implement the right IoT application and architecture for your business, ensuring interoperability.

Optimize IT operations, and innovate business processes faster to become a best-run business.

SAP IOT KEY BENEFITS

Increase business growth potential dramatically.
Reimagine Business with New Prod., Services & Business Models.
Use Mobile Apps to Quickly Deliver business value
Transform Business Operations.

Internet of Things (IoT)

CONNECT, TRANSFORM, REIMAGINE

SAP solutions for the Internet of Things provide everything you need to generate data-driven intelligence from connected things, people and devices.
Connect your business with the new generation of Internet-enabled devices in the cloud, transform your existing business processes and reimagine your business and customer experience.

IoT

CONNECTED RETAIL

Innovik Systech Analytics AI Assembler

CONNECTED CONSTRUCTION

CONNECTED ASSET MANAGEMENT

CONNECTED TELCO

CONNECTED VEHICLE

From Things to Outcomes

Optimize IT Operations and Innovate Business Processes More Quickly

What is SAP Analytics Cloud?

SAP Analytics Cloud combines BI, planning, predictive, and augmented analytics capabilities into one simple cloud environment. Powered by AI technologies and an in-memory database, it is one of the most advanced analytics solutions available today.

Engineering

What Is Analytics?

Every day, organisations, individuals, and items generate vast amounts of data. We collectively send 294 billion e-mails and 500 million tweets in a 24-hour cycle. We plug 3.5 billion searches into Google. Four petabytes of data is produced by our connected cars. And our watches, refrigerators, and televisions create and share data on a regular basis.

A basic definition of analytics

Analytics is a branch of computer science that seeks out relevant trends in data using math, statistics, and machine learning. Sifting through vast datasets to discover, analyse, and share new insights and information is what analytics – or data analytics – is all about.

What is business analytics?

Simply put, business analytics is the application of analytics to business data. It focuses on the business implications of data, as well as the decisions and actions that should be made as a result of those implications.

The importance of business analytics

Today, the use of business analytics software is often the deciding factor distinguishing industry winners from losers. Leading companies use analytics to monitor and optimize every aspect of their operations – from marketing to supply chain – in real time. They rely on analytics to help them make fast, data-driven decisions, grow revenue, establish new business models, provide five-star customer experiences, empower employees, gain a competitive edge, and so much more. Companies without analytics – or without good analytics – are left to make decisions and do business based on gut instinct and experience alone.

The top business benefits of analytics are:

Improved efficiency and productivity
Faster, more effective decision-making
Better financial performance
Identification and creation of new revenue streams
Improved customer acquisition and retention

Four types of analytics

Deliver better customer experiences with intelligent sales, with one system for all order management, and customer interactions. Supporting end-to-end process for selling solution packages offered in a single quote and invoice.

Descriptive, diagnostic, predictive, and prescriptive analytics are the four forms of analytics. This super tool kit, when used together, will provide decision-makers with a comprehensive understanding of what is happening, why it is happening, what will happen next, and what to do about it – in every situation.

Examples of analytics

Analytics is used by companies of all sizes and in a variety of sectors. Many analytics tools are specialised for a particular market, function, or line of business. Here are a few examples of today's analytics:

Financial analytics

Financial analytics has traditionally been used to generate a regular collection of results. Financial analytics has grown as finance has taken on a more strategic role in the market, integrating financial and operational data with external data sources to answer a broad variety of business questions.

Marketing analytics

Marketing analytics combines data from a variety of sources, including social media, the Web, e-mail, smartphone, and more, to provide marketers with a holistic view of their campaigns' performance. Users can mine millions of rows of data to increase campaign effectiveness, hyper-personalize marketing messages, evaluate social media sentiment, target potential customers at precisely the right time, and more.

Supply Chain Analytics

They optimise everything from sourcing, manufacturing, and inventory to transportation and logistics using real-time data from a variety of sources, including Internet of Things sensors.

Response and Supply Planning

Create and maintain supply plans aligned with business goals as demand and supply change

Modern analytics technologies

The era of artificial intelligence (AI) and machine learning has arrived, thanks to virtually limitless data storage and lightning-fast processing speeds. Analytics are being “augmented” by these developments, making them infinitely more efficient than before. AI and machine learning analytics can identify trends, locate outliers, and make correlations in Big Data much more quickly and accurately than ever before. They can use the cloud to access more data from more sources, such as social media and Internet of Things sensors, to uncover insights, opportunities, and threats that would otherwise go unnoticed. Machine learning algorithms can even simplify some of the most difficult steps in the analytics process, allowing even non-data scientists – not just data scientists – to use advanced and predictive analytics. All of this, of course, is accessible through mobile devices, allowing users to get answers to ad hoc questions no matter where they are.

What is Advanced analytics?

Advanced analytics refers to a form of analytics that employs sophisticated tools and techniques to explore data autonomously (or semi-autonomously). Predictive modelling, data and text mining, sentiment analysis, machine learning, neural networks, statistical algorithms, and complex event processing are examples of technologies and techniques that go beyond conventional BI capabilities.

What is Big Data analytics?

Big Data analytics is a form of advanced analytics that analyses very large datasets from a variety of sources, including structured, semi-structured, and unstructured data. Big Data analytics can uncover hidden patterns, unknown correlations, and other meaningful insights in datasets using complex tools and techniques like predictive modelling, what-if analysis, and machine learning algorithms.

What is Augmented analytics?

These powerful AI-driven analytics democratise advanced analytics by automating complex processes and allowing users to ask questions and understand answers with minimal training.

Digital Transformation