Inseyab is a premier Analytics company, focusing on Business Intelligence, Performance and Data Management solutions and services.
Spread across various industry verticals, we serve customers across the globe, through our presence in GCC and ASEAN. We strive to enable our customers in making data-driven decisions that significantly improve organizational efficiency and positively impact business results.
View ProfileTrade Foresight, a one-stop solution that opens the doors to making smart and effective trade strategies and decisions.
A comprehensive solution to all your needs for trade related information, Trade Foresight opens the doors to consolidated analysis of trade data from a variety of Data Sources and thus empowers Governments and Small Medium Enterprises (SMEs) with a complete horizon of econometrics with in-depth understanding of legal circumstances leading to better business and trade decision making.
Product Profile Visit WebsiteSuite of interconnected ETL, DW and BI components, delivering dashboards and self service analysis capabilities, through plug-configure-and-play mechanism, atop an existing Oracle EBS implementation.
A Microsoft-based Performance Management solution aligned with Balanced Scorecard Approach, ForeSight helps you roll-up to a one-window, holistic view of your company performance; as per KPIs of your choice, pulling in information from your scattered systems.
Automate and optimize entire field force management process from recruitment & hiring, induction & training to monitoring & management of performance.
Delivered one of the largest BI Projects in the market / Partners with all top BI, Data Management and Big Data players in the market / On-Premise and Cloud based services
A Revealing insights for Consumer and Corporate customers for Basic and VAS (Value Added Services) of the Telco, these stack of infographics pull information from relevant systems and provide Key Indicators around usage and consumption, payment collections and default, high value and normal customers, upsell potential and risk customers. Management can observe increase and decrease in number of users for each service and category, hence revealing insights into Churn, amongst other key insights.
Providing Key Performance Indicators for a holistic view for CEO and other Key C-Suite executives of Islamic FSIs, i.e. Equity, Assets, Deposits, Shareholder details, Profitability and the like, these dashboards distribute to three vital areas inside the institution - Commercial, Corporate and Consumer divisions. Data is pulled from relevant systems onto a Microsoft SQL Server based DW and insights are presented through MicroStrategy as the visualization tool.
Extracting data from social media sources such as Facebook, Twitter, Instagram and Google+, comparative analysis (incl sentiment analysis) was conducted and presented on live dashboards. NLP based analysis was conducted using internal and external text analysis tools whereas MicroStrategy was utilized for visualization.
A pilot project for a KSA Group comprising of Tourism, Car Rental and other services. The analytical application depicted booking trends over a selected year, tour bookings for selected destination, types of vehicles rented, and the like. Backend was developed on MS SQL Server whereas the analytical layer was developed on MicroStrategy.
The system tracks the performance of hospitals and health care facililities. The objective was to connect all hospitals and health care facilities under the health authority and measure Kpis related to Outpatients services, Patient information, Treament Insights, Doctors and staff performance, Hospital overall performance and consolidated results. WIth MicroStrategy at the analytical layer, underlying systems included HMIS, Finance and HRMS. DW and ETL layer was built using Oracle.
Extracting information from Oracle EBS (ORACLE DB), as well as Sales/Contracts and Satellite Maintenance scattered systems (SQL), into a DW designed in MS SQL SERVER, these are elaborate MicroStrategy dashboards to be viewed by C-Suite executives of a Media Telco company. Service Analysis was made possible through Visual Insight. The project was done for ARABSAT and can be considered one of the largest BI implementation in the region.
Extracted data from multiple data sources., utilizing SSIS, related to financial domain and built a data warehouse on MIcroSoft SQL Server. An analytical layer was developed on top of that and executive dashboards were created to report on most important KPIs. Self Service Analysis was made possible through Visual Insight. Tools utilized were SSIS, Microsoft SQL Server and MicroStrategy.
Also an important part of our Educational application stack of dashboards is a summary infographic of students enrolled in foreign programs, in countries outside of the univeristy's central campus. This information is visually presented in the shape of a bubble chart, with the size of each bubble reflecting the number of students enrolled in the univeristy being represented by each bubble. Power BI was used at the BI layer level and SQL Server as a DW.
Part of our Educational application stack of dashboards, this infographic reveals the duration of each student's degree program(s). While filters are present for selecting student, program / degree and specialization, the left portion of this specific dashboard provides information summary reflective of the filter selections, whereas the right portion provides a curved line, duration infographic. Power BI was used at the BI layer level and SQL Server as a DW.
Encompassing major aspects for Real Estate Analytics, this analytical app demonstrates price variations for each type of property (by location) along with monitoring KPIs pertinent to real-estate investors and agents. It also incorporates tracking of progress for under construction projects and associated costs to keep the operations on schedule. The analytical layer was developed on MicroStrategy whereas the backend was developed on MS SQL Server.
The analytical application summarises consolidated financial overview of the group activities and performance; including Container Handling, Bulk Storage, Terminal & Marine Services. Executives can view financial performance of each business domain with five year trend of financial key performance indicators. Backend was developed on MS SQL Server whereas the analytical layer was developed on MicroStrategy.
An important function of the government is to its citizens with a National Identity and related documents upon birth, death, marriage, etcetera. Such documents result in provisions that a citizen subsequenly qualifies for. The application was developed using MicroStrategy, highlighting requests for such documents from citizens, their status, distributed amongst different regions of a country. The backend has been developed using Microsoft SQL Server.
Illustrating demographics of a country's population, this application helps decision makers formulate appropriate public policies. This dashboard provide insights on religious composition of population, employment statistics with gender and age group distribution and focus on KPIs such as fine collected, accidents, literacy rate and infant mortality rate. The project was a proof of concept done for a government entity in Abu Dhabi and utilized Microsoft SQL Server for ETL and DW, MicroStrategy as analytical layer.
Revolving around data related to the heart of lending organizations, these infographics reveal fundings and repayments position of lendees - which industry and which customer has been lent what amount, since when, and related repayments. It also shows how available lending and defaulter info. KPIs such as loan default rate, loan distribution by location and industrial sector are summarized for executives. MS Datazen, Power BI and MS SQL Server were used.
This analytical application was built on top of Balanced Scorecard application deployed at Fertil. Capturing scattered information, this application presented information therein in the shape of intuite dashboards - an intelligent console that combines the four important strategic perspectives as defined by Dr. Kaplan and Dr. Norton. The app provides insights about perspectives and highlights scores of important KPIs, enabling efficient decision making process. Microsoft SQL Server and MicroStrategy were utilized.
Developed a proof of concept for KPK Governemnt (Pakistan) to provide them insights on performance related to budget, revenue and expenses across various sectors. In addition to this some insights were also drawn for the health care sector in terms of expenses and benefits to the citizens. Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.
Developed a proof of concept for Soneri Bank to provide them insights of core business statistics, considering Various business majors such as loans transactions etc., and hierarchy locations of branches and regions in addition to other areas number of dashboards were build, Power view over SharePoint 2013 and MS SQL Server were used in terms of technology.
Viewership statistics are most important for broadcasters as they form the basis for advertisement and sponsors. This analytical app represents insights for sports channel broadcasting range of events across geographies, revelaing info about subscribers, live fixtures, revenue and cost comparison along with churn rate and regional information. Additionally, Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.
"Adequate housing provision for its citizen is a priority for its government. This analytics application was developed for ADHA, designed for applicants and case details and status. It catered to the need to make optimal decisions in terms of granting loans, houses, grants or land to the applicants. Data in this application was fetched from ADHA's Core Business Application (SSIS ETL) into MS SQL Server DW. Analytical layer was developed on MicroStrategy.
Vehicles equipped with sophisticated sensors provide valuable data for driver evaluation and repeated errors. This analytical application is designed for monitoring safety of large fleet of vehicles. Key insights reveal driver performance and occurrence of offenses and accidents. Additionally, Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.
This analytical application is powered by Microstrategy with insights covering city muncipal functions. Performance indicators such as Revenue Collection from transportation & public facilities, public complaints and requests including business licenses are covered. Executives having such insights at their disposal can make quick decisions and proactive measures to increase efficiency.
Developed a proof of concept for Ministry of Health to provide them insights pertaining to Patient statistics, Patient Satisfaction, Attendance and Actuity Statistics, in addition to other areas. High level dashboards weredeveloped for executives. In addition to this, self service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were used in terms of technology.
A proof of concept developed for defense customer in Malaysia, data was pulled from recruits and training source systems. The application also tracks progress and placement KPIs for each recruit. The solution was built using Microsoft as the integration and data warehouse layer and analytical layer, MicroStrategy.
Helping government executives gain insights into Hajj applicants, this application extracted scattered data related to applicants, hajj statistics, haji satisfaction, financial and other areas into an MS SQL Server DW, reporting on most important KPIs. Self Service Analysis was made possible through Visual Insights. Tools utilized were SSIS, Microsoft SQL Server and MicroStrategy.
This analytical application was developed as a proof of concept for an Insurance company and provides insights around KPIs relevant to the insurance industry such as premium, yearly targets, yearly disbursements, business acquired and profit and loss across various client categories. In addition to this various ratios, such as claim ratio, commission ratio etc, were calculated using near time data. Analytical layer was developed using MicroStrategy whereas ETL/Data warehouse developed on Oracle.
In order to track the effectiveness and performance of judiciary system, a performance tracking application was developed. The analytical application extracted data from case management system, HR, finance and other applications. DW was developed using Microsoft SQL Server and analytical layer was developed using MicroStrategy. Few users with analytical capabilities utilized Visual Insight for Self Service analytics.
In order for UAE Armed Forces to track the effectiveness and performance of judiciary system, this analytical application extracted data from case management system, HR, financial and other applications. Microsoft SQL Server DW and MicroStrategy formed the core building blocks. Few users with analytical capabilities utilized Visual Insight for self service analytics.
Built to preemptively control Project Management communication, this application analyzes email commication text and can track/analyze sender sentiments. Another important use case for this application is to better customer service, analyzing inward communication. Once data is fetched, NLP base analysis is conducted using internal/external text analysis tools, whereas MicroStrategy is used for visualization.
Effective policing is an essential element of modern states. This analytical application is designed for policing authorities with a specific focus of fines assigned and collected against minor crimes and offences. In addition to this, Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.
National service is a system of compulsory / voluntary government / military service of youth. The national service dashboard caters to four main aspects of the program; deployment of passing out conscripts, insights for executives, progress of conscripts, nomination of employers amongst their workforce - highlighting life cycle of an applicant, scores, pass out appointments and contributing corporations. Merging three data sources with eight geographically dispersed locations, data was pulled into Microsoft SQL Server and analytical layer was built using MicroStrategy.
A series of well-crafted trainings can significantly improve behavior and efficiency of immigration staff. This analytical application is made for training activities of government departments handling immigration. Visualizations present critical KPIs helping executives in effective decision making. Moreover, Self Service BI was also enabled using Power BI and MS Excel. MS Datazen, Power BI and MS SQL Server were utilized.
The planning commission analytical application summaries the progress of various projects under different portfolios, along with critical project attributes like schedule index, cost index, and risk factor. Highlighting key consumption and allocation of budget for different development projects makes it a must have analytical application for decision makers. MS Datazen, Power BI and MS SQL Server were used.
The planning commission analytical application summaries the progress of various projects under different portfolios, along with most important attributes of projects like schedule index, cost index, and risk factor. Highlighting key consumption and allocation of budget for different development project makes it a must have analytical application for decision makers. MS Datazen, Power BI and MS SQL Server were used.
Our social media analytics provides conclusive reports based on sentiment analysis done on entities in focus. It portrays a graphical view of both positive as well as negative sentiments of a brand over a period of time. Using these results, concrete and informative presentations can be made along with comparative analysis of more than one entities against each other.
Our analytics provides a means to gauge and analyze the social buzz and conversations over a particular time interval for a particular brand in focus. It gives positive, negative neutral peaks which result from sentiment spikes over a particular occurrence with respect to the brand. Using this analysis media, we can perform social listening of the brand and track posts and mentions that generate considerable amount of potential impressions.
Our analysis media offers such extraction methods that display and bring forth all brands associated with a particular brand in focus. Along with this, all considerable mentions as well as hastags on twitter connected with the brand can be seen. In addition to this, emotions and behaviors relevant to the brand in focus can also be viewed.
I would highly recommend Inseyab to other firms looking for a professional team who take their work to the heart.
Samrah Adnan CD Strategy Lead (HR & Capability) - Unilever, Pakistan
I cherish my relationship with Inseyab and look forward to working with them again... Soon!
Maciej Rashwan MIS, Business Intelligence, Strategy & Corporate Performance - Fertil, UAE
Inseyab is a key partner in Asia region, its always a pleasure collaborating with them.
Jibran Jamshed Technology Consultant - Microsoft, UAE
Inseyab team has the ability to collaborate well with clients & produce meaningfull business insights. We highly recommend them to organizations gearing up for BI implementation.
Dhiren Modha Account Manager - Microstrategy, Middle East
It is a pleasure doing business with Inseyab and I would without any doubt recommend them to people in my network.
Kamran Sheikh Senior Enterprise/Solutions Architect - Abu Dhabi Government
With proven expertise across multiple vertical and geographies, we can see in inseyab a dedicated analytics partner of great potential to let our clients realize the power of data driven decision making.
Iftikhar Ahmed Analytics Channel Manager - IBM, KSA
Inseyab has developed strong relationship with customers through its philosophy of customer-centric approach where we strive to focus on solutions that resolve their needs and add value.
At Inseyab we strengthen and extend our capabilities by partnering with some of the leading solution providers in the world.
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A Performance Management solution aligned with Balanced Scorecard (BSC) for Enterprise approach, our solution provides a holistic view of company performance; KPIs (Key Performance Indicators) of choice, allowing organization pulling in information distributed within your scattered systems
Foresight provides considerable improvements compared to traditional BI project execution:
Foresight provides insightful infographics to help monitor and effectively manage your enterprise and help you identify avenues for performance improvement, with features such as:
ForeSight, adopting key principles of Organizational Performance Management, incorporates Strategy Mapping (as per Balanced Scorecard approach by Robert S Kaplan and David P Norton) as a key feature for optimal strategizing and eventual achievement of management objectives.
Built with the detailed knowledge of the process flows related to Performance Management, ForeSight provides the following critical features
Our optional module of Microsoſt Power BI allows you to view Dashboards, detailing enterprise performance, on the go, on devices of your choice.
Analysis user can also benefit from the power of Self Service BI. Enabled using PowerView, this feature provides easy to use, drag and drop access to all data marts and models from the underlying datawarehouse.
Born out of the need to execute fast and repeatable BI and Analytics projects, Konnectalytics is Inseyab Consulting’s premier product for Oracle Ebusiness Suite applications. Simply put, its a solution that connects to Oracle EBS modules, gets all the data stored in the application, stores it into a warehouse and presents in easy to use, feature rich, insightful analytics Dashboards.
By virtue of the solution’s modular design, deployment time is reduced, automating installation and configuration of infrastructure such as database, ETL, and front-end applications. Pre-configurations diagnostics module connects to target Oracle Ebusiness suite and provides insights into what can be achieved aſter installation
Applying business knowledge for each area, in depth reports for each available oracle EBS modules including:
With detailed data discovery as well as KPI Business knowledge already learnt and data models already designed, opting for KonnectAlytics over a standard, services-based BI engagement considerably reduces your TCO and significantly improves you ROI.
Tested, prebuilt ETL code is available and can be deployed using a choice of Pentaho/Microsoſt SSIS for ETL.
Easy to use dashboards, built on state of the art (Microstrategy/Microsoft) technology, provide out-of-the-box analytics on web and mobile platform. This reduces design-to-production time and requires fewer resources to install, configure and run the system.
Analysis user can also benefit from the power of Self Service BI. Enabled using Microsoſt Power View and SSAS, this feature provides easy to use, drag and drop access to all data marts and models from the data warehouse. Access to raw-data as well as cubes is provided to achieve power-user satisfaction.
Catering to the busy executives' over occupied schedule and the need to have insights available on-the-go, option for mobility has been structured into the solution. Be it Android, iOS Windows, your dashboards can be accessed through high quality Microsoſt mobile app.
Konnectalytics Data Warehouse and OLAP Cubes use industry standard models and design, while utilising KIMBALL Approach, to allow customers to attach additional Oracle EBS sources, as well as, other applications running with the organisation. Its the same full stack approach that would be used in a custom designed solution.
We give the administrators and user full power over components at no additional license fee.
Konnectalytics relies on layered architecture for ease of use, allowing customers to deploy tools of choice for Data-warehousing, analytics and ETL. Following high level illustration of our solution architecture and components.
Data analysis and mining is a sophisticated, organised process capable of identifying key information which the human brain does not see or perceive. Filtering out random factors, it establishes key relations by means of advanced mathematical algorithms, converting all types of data into valid, clearly understandable information which can be directly actioned for greater success.
As part of our services, Inseyab offers advisory and consulting services in which we review and understand organizational context and associated data, in order to propose how this data can be analyzed for effective decision making. We also assess data and identify whether the data is complete and usable for mining and analysis. In addition to this, this activity also helps in understanding what type of measures can be discovered utilizing the available data. This exercise helps in giving organization a clear understanding of how the data analysis and mining can help in effective decision making.
In addition to the consulting services, we also take customer data and develop meaningful insights using different tools, technologies and models. The tool/technology, approach and models, whether predefined models or AI driven Machine Learning based models, depend on the data and the end objective of the exercise. Best course of action is decided with the customer and implementation is carried out right after that. The service is available on premise or remotely or through cloud services.
Both services can be delivered in sequence or as separate activities depending on the customer needs. Technologies such as MicroStrategy, SPSS, Watson, Cloudera, NLP tools, R and other proprietary/open source tools as used based on customer needs. Both on-premise and cloud based options are available.
Inseyab's skillset for this domain comprises of industry leading Data Governance and MDM technologies, including, but not limited to, IBM, Microsoft and Oracle tools. We offer services under the able assistance of these Gartner's Magic Quadrant Leaders - utilizing tools including InfoSphere Information Server for Enterprise from IBM, Master Data Management (MDM) Hub Architecture from Microsoft, Data Relationship Management (DRM) and Data Relationship Governance (DRG) from Oracle.
With the explosion of data volume, velocity, viscosity and veracity, it is of utmost importance for organizations of today to effectively monitor where their data says they are headed. In the wake of even more strict regulatory as well as stakeholders’ pressure, the need for this monitoring and management is of even greater significance. In the same vein, it has been observed that almost all large organizations, especially Telecom Operators and Financial Services Institutions (FSI) have, of late, given significant attention to improving their ability to manage data practice across all business domains for maintaining confidence based decisions - clients acknowledge the need to address broader underlying IT investment to better drive information management actions across their organizations. In this services stream, Inseyab caters to this requirement of Data Governance.
By developing an effective “Data Governance Program” for managing Information and Data, organizations can manage demand, deliver value, and mitigate risk of depending on low quality data. A robust “Data Governance Framework” helps to establish equilibrium between rigor and responsiveness on an ongoing basis.
Master data is a set of core data elements—with their associated hierarchies, attributes, properties, and dimensions—such as customer, product, legal entity, chart of accounts, employee, vendor, market channel, geographic location, etc., that span the enterprise IT systems and drive the business. Effective MDM facilitates quality information by establishing a mechanism for shared internal information controls: business units have autonomy over the information they use, but IT has ultimate oversight and control of corporate information. Auditability is another by-product of effective MDM. Effectively standardizing and managing master data, gives a company the ability to track the change history of corporate information, as well as the ability to roll back to a prior state in the event of a systems failure or for comparing prior states with current or proposed future states.
Data Governance and Management is a journey, not a destination. Management and improvement of enterprise master data is an ongoing, often complex, process. Inseyab helps companies by outlining and enforcing a well- defined, time-tested course for Data Governance and MDM implementation. This increases an organization’s chances of a smoother journey and their chances of achieving their efficiency, effectiveness, and flexibility goals will be greatly improved. The Inseyab DDM Data Governance & MDM Framework outlines a few process drivers for starting and sustaining a Governance and MDM journey. These process drivers will not necessarily mark progress chronologically; instead, they will help determine that progress is being made correctly and that the company’s maturity level in understanding the importance of master data is increasing.
In addition to conventional data stored with organizations transitional system, there is tremendous amount of data being generated from Big Data sources. As part of our services, our team will work to help you bring order to your Big Data. With proven expertise in mature technologies and thought leadership in those that are emerging, our team of senior-level consultants will help you implement the technologies you need to manage and understand your data - allowing you to predict customer demand and make better decisions faster than ever before. Whatever your Big Data challenges are, we'll provide you the strategic guidance you need to succeed.
In terms of tools and technologies, our consultants have expertise in Cloudera, Hive, Informatica, SAS, R, Hadoop, Spark, Scale, MapReduce, Perl, QuerySurge, Pentaho, Talend, Mongo DB, MicroStrategy, Microsoft, Oracle, IBM and other related tools and technologies.
We deliver end to end Big Data implementation or can engage in building Big Data Roadmaps for our customers.
BI, as a discipline, is made up of several related activities, including data mining, online analytical processing, querying and reporting. In order to build capacity, initial groundwork must be laid out and an assessment must be carried out before aiming to implement a unified enterprise-wide Business Intelligence platform. A roadmap for successful Business Intelligence can be implemented following an initial assessment. A successful BI strategy is not simply the sum of various projects and independent efforts, but instead reflects a comprehensive network of people, processes, and Technology aligned to deliver value. BI assesment and roadmap development will aim to carry out an assessment of business requirements, processes, end-user types, scenarios and interactions, including technical and functional specifications for BI capacity. Using its proprietary AID™ (Assisted Information Discovery) framework, Inseyab will aim to discover, understand, harmonize and verify the complete data landscape.
By determining where an organisation stands in relation to Key BI readiness factors, it can leverage strengths, manage the risks, launch initiatives to improve readiness, develop competencies, and optimize data management processes. A BI Readiness Assessment can thus be seen as a BI strategy tool and as an implementation tool that, with modest investment of effort, can greatly enhance the probability of a strong payoff for a BI investment. A BI Roadmap is the second step in developing the comprehensive BI Strategy. Inseyab uses a holistic framework for assessing the readiness of a BI program and to deliver a roadmap.
Using its proprietary AID™ (Assisted Information Discovery) framework, Inseyab will aim to discover, understand, harmonize and verify the complete data landscape. improve the chances before The BI assessment will aim to establish a cohesive, evolutionary vision for current and future development.
As an outcome of this exercise the customer will have a clear understanding of which technology might be aligned with their BI needs, which systems should be BI enabled during initial phases and which one should be kept for later stages, which prerequisites should be in place before embarking on BI journey and how will the users be trained for BI based organization.
Our services for Business Intelligence revolve around Inseyab's objective of serving customers make more informed, data driven decisions. We strive to complement customers' experience and decision making capabilities with Insights from their data to significantly improve organizational efficiency and positively impact their bottom line. Business Intelilgence is all about visually appealing, information revealing infographics, brought forth after pulling in revelant data from underneath systems scattered across an enterprise. Applying Business Domain knowledge via our Subject Matter Experts (SMEs) for the verticals we operate in, our engagement starts with a mutual agreement with client executives around what KPIs are required in the shape of infographics. Data for these KPIs is extracted through ETL scripted by our Data Management resources, and pulled onto the Data Models designed by our Architects.
Whether we utilize MicroStrategy, Qlik, IBM Cognos or Microsoft BI as the visualization tools, we have the choice between pulling in data directly into the Data Layer of these tools and present the information onto dashboards, or connecting it to an interim DW. If we go through the DW route, we have a choice between adopting a top-down approach of Bill Inmon's DW or bottom-up approach of Ralph Kimball - we prefer the latter, essentially since it allows us to have short, milestone based releases for the comfort of our clients and go by a datamart by datamart approach (connected through common conformed dimensions) towards an enterprise wide DW, eventually.
Skilled across various other tools for extracting data, Informatica and SSIS are our ETL tools of choice, whereby data is extracted, transformed to the requirements of the interim model and loaded into the DW (via staging).
Our sole purpose being helping convert Data to valuable Business Insights, we take our customers from basic description of data to prediction of where they are headed, and eventually prescribing what should be done for even better results. It is pertinent to mention that Analytics in general, and Business Intelligence in particular, are journeys for the clients - programs rather than projects we help our customers embark upon and target to postively impact the bottom line.
Performatrix is a secure web-based product for tracking and developing employee’s performance. It automates employee’s life cycle with an organization from recruitment, team management, task management and performance tracking to employee’s training and development and eventually exit management.
Multiple user roles and approval workflows with notifications and alerts enable users to perform essential management functions in a few clicks. Coupled with detailed reports related to each function, it also has intuitive dashboards for executive users with drill downs and slice / dice options across regions and departments.
Using performatrix organizations can easily create trainings, deliver them and evaluate performance of dispersed workforce through online quizzes. Developed in .Net, the solution is based on component based model. Making the solution extendable and scalable.
Benefiting businesses to improve their knowledge sharing, bringing transparency to performance and reducing costs incurred on functions like recruitment, training & development and performance management. Automation of such functions throughout the organizational hierarchy enhances employee participation resulting in more efficiency and lasting motivation.
Inseyab proudly announces it's collaboration with eMagine for VISIONARIES 2018. A unique platform that gives an opportunity to next generation visionaries to present their dream and set a vision for life.
Business Intelligence Consultant responsibility is to help businesses and organizations gain a competitive advantage by implementing information management and analytics solutions which provide the clients with business insights which enable them to optimize their operational performance.
UI/UX Designer helps to create and enhance digital interfaces like websites, apps, and software programs to make the experience more effortless and enjoyable for consumers. Their work helps boost customer satisfaction, build brand loyalty, and ensure that there aren’t any design elements present that might prevent potential customers.
The ideal applicant will possess strong knowledge of the BI Tools, including concepts of report/dashboard development. The successful candidate will be responsible for contributing to data analysis, data modelling, report/dashboard development, POC development and conducting research on recent development techniques on the BI tool. Those looking to gain valuable BI experience with an established organization are encouraged to apply.
The ideal applicant will possess strong knowledge of web interface development, including concepts of digital interfaces like websites, apps, and software programs to make the experience more effortless and enjoyable for consumers. The successful candidate will be responsible for contributing to sketch visual concepts, editing and designing marketing collateral, designing/re-designing websites, designing app/dashboard interfaces and enhancing visual appeal. Those looking to gain valuable UI/UX experience with an established organization are encouraged to apply.
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Social Media Analytics
Working on Social Insights in these times of the highly empowered customer is almost the way of normal business for companies the world over – digging for deep insights into customer pains, campaign positivity and overall reaction, brand amplification, passion intensity of followers, churn reasons and the like. All of these prove to be extremely strong in re-adjusting offerings as per the needs of the customer, and drive growth. Our Social Media Analytics practice focuses specifically on bringing together and deriving insights from social media (Facebook, Twitter, Instagram, YouTube, Google+), letting organizations become privy to the conversations and trends in their unique target market and subsequently identify strategies to improve customer engagement and target growth; and respond in a timely way to issues or crises that may impact the organization’s brand or reputation.
A critical step in the setup of any social media listening tool is “tuning” gathered information to reduce false positives and irrelevant mentions. Our experience gives us confidence to deliver on value and only fetch information relevant to our clients, helping you get results from a platform tuned more efficiently and effectively to outline specific use cases and topics for analysis.
It is imperative to mention that since this service is based around fetching publicly available data, competition social data can be made available to clients as well, hence making it possible to know what your customers like about offers from others, not available in your offerings – such market / customer intelligence can eventually provide you your real competitive edge.
This is a Pay as you Grow service with no initial investment from clients – It is us who invests time and our skilled resources to generate detailed reports as desired by you, providing the same at our pre-agreed frequency (usually monthly) at your desk, while you just pay as you go, from your operational expense head.