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Dashboarding/UX/UI Consulting

ABI Dashboarding and UI/UX consulting

User experience design is all about convenience of human-computer interaction. We developprototypes to create and implement effective UI – with the main goal to user experience to the next level which helps you to achieve solid business results.

Understanding UI/UX and ABI

User Experience is stealing the limelight in the present design world. Integrating the latest technologies and benefitting from latest tech, we roll forward in the UI/UX realm.Our highly experienced team, and inquisitive nature as an organization, have gained us enough expertise to fortify your UI/UX design concepts to bolster your business. We will help you uphold your values and achieve your goals through interactive designs that captivate the visitors attention.

Advantages of ABI dashboarding, UI/UX development

A BI dashboard manages information by tracking data points that are important to your business. The dashboard gives you an overall view of all data from across the organization on a custom dashboard that deliver valuable insights for the business. You can see and analyze data, display the businesses key performance indicators , assess performance measures and generate actionable insights.There are many significant benefits of implementing BI dashboards into your operations including:

Better Visibility

Better Visibility

BI dashboards provide better visibility with information whenever it is required to ensure businesses are prepared to respond to ever evolving market conditions.

Forecasting

Forecasting

With better insight, future demand can be more accurately predicted using historic information. Businesses can more effectively plan for demand fluctuations for the next business cycle, setting measurable goals and deliverables for greater success.

Better decision-making

Better decision-making

A BI dashboard allows companies to analyze key data quickly and optimally, extracting important insights from an overwhelming amount of data in a way that is easy to understand. With the ability to easily identify what the data really means, better decisions can be made relevant to the business.

Key performance indicators

Key performance indicators

BI dashboards seperate data from multiple sources, displaying information as easy to understand visuals, in real-time. This provides managers with an overview of current KPIs to assess different areas of performance while creating actionable insights.

Delphi Approach -It Starts with Data

Valuable, insightful and relevant knowledge to inform executives in companies is a core component of strategic business decision-making. To address this need for enterprises, Delphi creates a solution for loading, transforming and analyzing data and building a comprehensive analytical framework.

Understanding requirement

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  • Product Introduction and need understanding.
  • This helps us to implement the project effectively

Research and information Architecture

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  • Designing a new architecture based on the users need
  • Testing this architecture and developing prototypes

Prototype and Wireframe

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  • The hierarchy of items is defined on a screen
  • It helps to explore ideas before implementing them by creating a visual.

Visual Design

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  • Collaborating with the visual designer to provide better size color an use of whitespace
  • Defining component , interaction and behavior.

Analytics and Testing

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  • Working closely with the analytics team
  • Run the usability tests an user personas for feedback
  • Browser and platform compatibility

Clients

Take a look at our most valuable clients

Awards,Accreditation & Partnership

Low code Application Development

Low Code Application Development

Low-code application developmentis used to accelerate software development and delivery, by quickly building better apps. It uses cloud based platforms which have all the integrated tools and services needed to accelerate the entire application lifecycle, from design and development to deployment and operation.

Need for Low Code Application Development

Low code application development is an easy, quick and visual way of developing a workflow for a business process. The development happens on a cloud hosted platform,the traditional line-by-line code is not required, it is achieved through a visual, drag and drop UI which uses less technical resources and gives a better understanding for the customer. Low code application development varies from apps requiring little coding to no coding required at all. These app types range from upgrading legacy applications to IoT-enabled smart apps.

Features of the Low Code Application model

Low code application development is very beneficial whether it is about creating an app or simplifying the development process for coders by automating manual processes, low-code development makes it easier than ever to create flexible apps to get specific tasks done. Low-code enables developers to skip all the infrastructure and re-implementation of patterns that slows down the development process and go straight to the unique 10 percent of an application, enabling rapid deployment of software solutions to clients who need to quickly adapt to changing business needs. Some of the features of Low Code application development include:

Quick and Effective Development

Quick and Effective Development

The low code platform provides us with full stack DevOps capabilities, With build, test, and validate consistently, which helps in enhancing the UI of the application.

Data Backed Decisions

Data Backed Decisions

With the ability to build reports and dashboards , while gathering real-time insights enables effective decision making in the development process, while achieving the desired goal.

Cost Effective

Cost Effective

With the ability to build more apps in less time, leads to effective costs. Not just this, low code, it also reduces the need for hiring more developers, and increase efficiency and leads to a better productivity.

Access Next Gen Technologies

Access Next Gen Technologies

The Low code development platforms are also powered to connect to IOT, AI, machine learning and block chain and all other futuristic technology.

Low Code Application Development Process

Building software with low-code is the same as building software any other way, but the steps are fewer, The idea is to speed development of business-level applications.By shortening the development cycle of applications, business goals can be achieved more quickly, generating a faster return and meeting internal and customer needs more quickly. The low code environment provides developers with a visual development , highly productive environmentwhere they can build complex process models, map database objects to user workflows, and customize UI design, without having to write their own code, as well as offering visual powerful tools to deploy and manage apps. Some major steps in the low code application development lifecycle are :

Determining the requirements

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  • Gathering information on the requirements of the application to be Developed

Data models, UI and visual IDE

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  • Insert the application workflow, data models and User interface in the visual IDE

Connect to 3rd party API

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  • We connect developed modes to the selected 3rd party API, this shortens the development process

Test for User acceptance

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  • The developed application is the tested for all the user requirements and functions.

Deployment and single click updates

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  • After the application is tested for user acceptance, it is deployed, and quick updates are made according to the review

Clients

Take a look at our most valuable clients

Awards,Accreditation & Partnership

Predictive and advanced analysis

Proactively Predict Your Patterns

Delphi can help you build predictive models to target your business-critical questions, and proactively understand the business patterns which can give an edge in your industry.

Need for predictive Analytics

In modern day companies, Data dominates everyday-life, and hence predictive analytics becomes a key aspect to grow and provide important insights. In the time of rapid technological changes, businesses realize that being profitable does not just mean reducing costs. Corporations need to adapt every now and then and this can be done by predictive analytics.The objective is to not just identify trends based on past information, but rather to assess systematically what is likely to happen.

How Delphi can help​

Managing your real estate portfolio remotely, with a guided workflow and an intuitive dashboard is the solution for your organization. Delphi has invested by working with real estate clients to develop a customizable solution for real estate business operation modernization.​

Fraud Detection

Fraud Detection

Using predictive analytics applications, you can provide pattern detection to find criminal behavior. It analyzes all behavioral patternsto catch abnormalities that may indicate fraud, vulnerabilities, Optimizing the safety of your systems and platform.

Optimizing marketing campaigns

Optimizing marketing campaigns

Using predictive analytics applications, you can provide pattern detection to find criminal behavior. It analyzes all behavioral patternsto catch abnormalities that may indicate fraud, vulnerabilities, Optimizing the safety of your systems and platform.

Improving operations

Improving operations

Predictive Analytics can forecast the supply anddemand to effectively manage resources. Many companies useit to maximize their workload and increase sales revenue. Predictive analytics improves firms’ efficiency and helps in gaining more profits.

Reducing risk

Reducing risk

Predictive analytics helps us to assess various aspects in a lot of organization which help us a analyze and visualize the risk factor. It is very helpful to get an idea of the risk and the reward and then decide on whether to go for it or not.

Delphi Approach

All the advanced analytics rely on stable and accurate dataset. Hence, we focus on robust data processing to ensure the dataset is thoroughly cleaned and validated prior to analysis. With our dedicated team of data scientists and analysts, we will aid you in understanding and recognizing the emerging trends in predictive analytics and statistical modelling, in order achieve the highest reliability and customer-driven content.

Data Collection

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Gathering accurate and valid information on target variable identified as data requirements or are relevant to the case on the hand

Data Processing

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Involves the structuring and transformation of data so that it is organized for analysis

Exploratory Data Analysis

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Involves the initial visualization and understanding of the data such as the identification of skewness, quartiles and distribution

Model Development

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By using Machine Learning techniques and algorithms, we develop predictive models to meet our clients’ unique needs.

Insights and Reporting

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From the new insights derived from our predictive models, we offer our clients with actionable recommendations to aid their decision making.

Clients

Take a look at our most valuable clients

Awards,Accreditation & Partnership

Machine Learning

Leaders in Machine Learning

Leverage our customized Machine Learning Consulting and Development solutions to let your business reach new heights.Optimize efficiency, quality and productivity of your assets using custom AI and Machine learning solutions.

Need for Machine Learning solutions

We Shape Machine learning models into fully functioning, data driven AI solutions. Every problem is unique and hence requires a unique solution. Delphi uses latest AI techniques to custom build a solution that provides best possible answer to the customer’s problem irrespective of the domain. We intend to establish a culture that acts on data and makes strategic decisions based on data analysis and interpretation. Optimize efficiency, quality and productivity of your assets using custom AI and Machine learning solutions.One-size-fits all approach rarely fits in Machine learning domain: different use cases require different techniques, and various stages of the model building lifecycle determine possible and preferred optimization strategies.

Machine learning Solutions (Applications)

Data Mining

Data Mining

We work with algorithms to analyze data patterns in large batches of data using customized software to get insights, which are further used in research, forecasting and decision making. Data identification, Data analysis, Information extraction, Interpretation

Natural Language Processing(NLP)

Natural Language Processing(NLP)

Natural language processing is a field of artificial intelligence in which computers analyze, understand, and derive meaning from human language in a smart and useful way. We can organize and structure knowledge to perform tasks with NLP, some of them being: Speech recognition, Sentiment analysis, Automatic summarization, Language Translation

AI Vision

AI Vision

We implement image processing and ML algorithms to develop image and video recognition solutions that understand and predict visual input to give us the required output. Some of the applications of AI vision are: Assisting in the Educational System, Optimizing Medical Imagery, Behavioral and emotional analysis, Face and iris recognition

Delphi Approach on ML solutions

Delphi can help you with a custom-built Machine Learning solution to fulfill your business needs, we use latest technology to provide smart, data driven solutions to help innovate and explore new opportunities in your field. The project workflow we follow at Delphi is:​

Analyzing necessities and goals

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In the first phase of an ML project realization, we outline strategic goals. We assume the solution to a problem, define the scope of work, and plan the development.

Data Pre-processing

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Data is the foundation of any ML project. The second stage of project implementation is complex and involves data collection, selection, preprocessing, and transformation

Model Implementation ​

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In this stage, we train numerous models to identify the one with the most accurate predictions. The models are mainly of two types:

  • Supervised learning model
  • Unsupervised learning model

Model Evaluation

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The goal of this step is to develop the simplest model able to formulate a target value fast and well enough. At Delphi, we achieve this goal through optimization of model parameters to achieve an algorithm’s best performance.

Deployment, Assistance and Support

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The model deployment stage covers putting a model into production use. Deployment workflow depends on business infrastructure and a problem you aim to solve.

Clients

Take a look at our most valuable clients

Awards,Accreditation & Partnership

Robotic Process Automation

Robotic Process Automation (RPA)

The robots are here to stay. The quicker you understand their potential, the faster you build a competitive advantage for your company. Robotic Process Automation provides direct profitability while maximizing accuracy across enterprises and sectors. Enabling RPA to manage all operations would not just transform and streamline the organization's workflow. It will provide superior scalability and versatility within the organization, doubled by a quick, customized response to unique needs.

Understanding Robotic Process Automation

RPA is an application of technology, governed by business logic and structured inputs, aimed at automating business processes. Using RPA tools, a company can configure software, or a “robot,” to capture and interpret applications for processing a transaction, manipulating data, triggering responses, and communicating with other digital systems. RPA scenarios range from something as simple as generating an automatic response to an email to deploying thousands of bots, each programmed to automate jobs in an ERP system . Software robots are easy to train and they integrate seamlessly into any system. Multiply them, and instantly deploy more as you go.

Benefits of Robot Process Automation

Robotic Process Automation has a positive snowball impact on company processes and performance. RPA provides measurable market results right out of the gate—think cost reductions, better precision, ease of delivery—then proceeds to add value as it builds up steam and expands through the enterprise. RPA enhances market benefits such as customer loyalty and enables competitive advantages by freeing employees to do what they do best—solving challenges, enhancing procedures, performing research and other value-added work—resulting in improved employee participation and new sales opportunities.

Greater Productivity

Greater Productivity

RPA bots create a step-by-step shift in employee productivity by accelerating workflows and allowing further work to be performed independently by executing processes.

Integrate Across Platforms

Integrate Across Platforms

RPA is an agnostic program, meaning you will never need to update or replace current RPA systems to operate. Bots empower businesses to live the dream of removing technology siloes by effortlessly integrating through all digital resources.

Scalability

Scalability

RPA allows high-volume enterprise processes to be more robust and adaptable in challenging times and evolving markets. Flexibly manage every workload—planned or unplanned—by expanding the Digital Workforce when required. Now imagine that it's so easy, so intuitive, that everyone can do it.

Getting started

RPA promotes process and task automation to gain greater organizational productivity and resilience while encouraging the human workforce to focus on more strategic and higher priority projects and activities.

Product Demo

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  • Product Introduction and product capabilities walkthrough
  • Use case demonstration

Consultation

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  • Identify the processes an techniques that will be used
  • Optimize the productivity and select the best approach

Design

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  • Map the process an identify the intervention models
  • Design an automation architecture

Implementation

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  • Design and development process
  • Before and after the deployment scenarios.
  • Go –Live support

Deployment and support

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  • Testing and deployment of the product
  • Management and failure recovery

Clients

Take a look at our most valuable clients

Awards,Accreditation & Partnership

Data Quality and Data Governance

ETL, Data quality and governance

ETL, Data quality and data governance are indispensable to organizations who aspire to become Data Intelligent Enterprises. The triple combination of ETL, Extract, Transform and Load provides crucial functions that are many times combined into a single application or suite of tools.

Requirement for Data Assesment

The quality of data defines the precision, completeness and integrity of the data. Organizations require high quality data that they can trust to make critical decisions.Data governance is a series of procedures and processes for standardizing and automating the use and usage of data within an organization; a structure of governance and regulation over the use of data properties. Data governance offers a basis for communication in a common language; Teammates in and across divisions may collaborate using the same language and evaluate the same results. In addition, clarifying functions and responsibilities reduces uncertainty and makes data systems and communication easier to adopt.

Leveraging Data Governance Framework

As a practice, data governance requires the creation of comprehensive, formal oversight over certain procedures and obligations. This will allow organizations to stay responsive, particularly as they expand to a scale at which it is no longer efficient for individuals to execute cross-functional tasks. Several of the overarching advantages of data management will only be achieved when the organization has developed formal data governance. Many of these advantages include the following:

Data accuracy

Data accuracy

It is the fundamental dimension in data quality. Data may come from various internal and external sources, and therefore data accuracy refers to the correctness and consistency of data.

Data completeness

Data completeness

It indicates that the required data are well recorded without missing values. A complete data source covers adequate data in both depth and breadth to meet the defined business information demand.

Data integrity

Data integrity

It means the wholeness, entirety and soundness of organizational data. It often involves a data integration process which combines data from different sources in an attempt to provide users with a unified view of these data.

Getting started

ETL andData governance can better be viewed as a mechanism that facilitates the overall data management policy of the enterprise.ETL is a type of data integration process referring to three distinct but interrelated steps (Extract, Transform and Load) and is used to synthesize data from multiple sources many times to build a Data Warehouse, Data Hub, or Data Lake.The Data Governance System gives the enterprise a comprehensive approach to gathering, managing, protecting and preserving data.

Process

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  • It is important to focus on the main stages of data governance process
  • This includes discovery, definition and application

Security

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  • Monitoring and improvising the internal and external data.
  • Ensuring role-based access to data
  • Proper privacy policies and encryptions

Data Quality

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  • Latest Data quality techniques are used to efficiently transform data influencing, Business process, decision and predictions.

Meta Data Management

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  • We combine data from various systems and applications
  • A single sources truth is created from various sources

Clients

Take a look at our most valuable clients

Awards,Accreditation & Partnership

Extract, Transform & Load Data Warehouse Modernization

Modernize your data landscape

With ever evolving technology and Business requirements, we at Delphi help you to evolve the traditional data warehouse which supports new technology and keeps you ahead of the world.

Need for Data Warehouse Modernization

We ought to look at the larger reality about the data, which is that legacy data tools actually lack the ability to solve current data problems. The conventional data stack has too many steps, too many resources, and too many integrations, all of which contribute to organizational difficulty, time delays, and high costs. The data modernization strategy has become a top priority for enterprises because achieving this means that they can provide ideal data experiences that have useful, workable insights, API-driven application integration, and respond to the real-time needs of a competitive market setting.

Data Warehouse Modernization Process and Solution

In Data Warehouse Modernization, we help you transfer the database from data marts to cloud data silos . To excel with cloud data warehouses and data lakes, Delphi offers a comprehensive solution for cataloging, ingest, integrating, cleaning, and handling data.

Data Integration

Data Integration

Quickly ingest and incorporate all forms of data using an intuitive visual development environment to effectively build data pipelines that accelerate your cloud data warehouse and data lake. It offers pre-built cloud-native access to nearly every form of business data, whether multi-cloud or on-premise.

Data Quality

Data Quality

Data Warehouse modernization offers cloud-based functionality so that you can take a comprehensive approach to rapidly profile your data, allowing you to detect, address and track data quality issues before transferring data to your cloud data warehouse or data lake.

Metadata Management

Metadata Management

We have a metadata-driven approach to creating data pipelines using a visual development environment, with the ability to run on all major cloud systems (Amazon Web Services, Microsoft Azure, and Google Cloud Platform) and the new computing engines (Spark) without needing you to re-encode the existing pipelines.

Delphi Approach -It Starts with Data

Valuable, insightful and relevant knowledge to inform executives in companies is a core component of strategic business decision-making. To address this need for enterprises, Delphicreates a solution for loading, transforming and analyzing data and building a comprehensive analytical framework.

Ingest

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  • Ingestion to bring data into the analytics ecosystem

Catalog

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  • Cataloging to manage the inventory of datasets and supporting metadata

Prepare

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  • Preparation to improve, enrich, format, and blend data

Analyse

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  • Analysis to explore, model, and visualize data

Act

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  • Action to turn analytics insights into business results

Clients

Take a look at our most valuable clients

Awards,Accreditation & Partnership

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