Embedded Data Analytics
Trusted Intelligence Enables You To Outpace Dynamic Markets
Wherever you are on your journey—from aggregating the vast points of data to building sophisticated AI models, we will meet you there. With our offerings you will harness the power of data and AI to drive faster, predictive and proactive decisioning, all while educating the organization on the path forward.
We provide a single entry no-code content hub to discover, personalize and recommend business analytics content among multiple vendors. It's an analytics platform that combines predictive analytics, reporting, data analytics and data integration capabilities, natively out-of-the-box.
We elevate Business Intelligence beyond KPIs & dashboards to a world of outcome-oriented decisions by connecting data with AI-augmented BI. Our approach to data strategy enables co-existence between data innovation & renovation while reducing risk, insulating client impact & accelerating business value.
Services Provided For Clients In Multifarious Domains : -
(1) Predictive Analytics for Infrastructure Project Management : -
- The challenge for infrastructure based contractors and their project managers includes paper-based workflows, data silos, misaligned processes, and ineffective solutions for collecting critical details from the field. Predictive analytics provides meaningful insights for stakeholders to take action on existing and future projects
- However, it requires collecting massive amounts of data in real-time on the jobsite and across the organization. Multiple scenarios based on the insights can be applied to improve estimates, reduce costs and avoid failures on future projects helping produce better outcomes on the current work.
- Embedded data analytics and the technology supporting its application in the infrastructure industry, offers new opportunities for contractors to help them mitigate risks, improve project management, reduce the time spent working on a project as well as attenuate costs & overheads.
(2) Financial Service Establishments : -
- Financial service entities are capitalizing on big data. From capturing new market opportunities to reducing fraud, financial service organizations have been able to convert big data into a competitive advantage.
- When it comes to security, it’s not just a few rogue hackers, the financial organizations are up against an entire set of experts. With security landscapes and compliances constantly evolving, organizations with big data analytics can now identify patterns that indicate fraud and aggregate large volumes of information to streamline regulatory reporting.
- Big data offers valuable insights that help organizations innovate and make the interdependencies between humans, institutions, entities, and processes more remunerative. This allows financial establishments to make informed decisions, that directly result in better financial outcomes.
(3) Biotechnology Syndicates : -
- Genomics in the biotech domain, generates huge amount of data that needs to be analyzed with care, as the information and conclusions drawn are applicable in a whole range of industries from medical to forensic science. It involves embedded data analytics at various levels.
- Big data succour biotech businesses in getting a deeper insight into their market, and tailor solutions to specific audiences based on their behaviours. Within the biotech industrial sectors, embedded data analytics assists in making operations more effective and efficient.
- Embedded Data analytics provides insightful metrics for biotechnology syndicates to be able to identify bottlenecks and overcome challenges. It prompts unambiguous, data-driven decisions, which can strengthen a syndicate's operations, processes, sales and in turn, its future.
(4) Healthcare Domains : -
- The healthcare industry deals with a lot of data. Inaccuracies in information can directly impact healthcare quality and put patient safety at risk due to ill-informed clinical processes. By helping collect verifiable data that has actionable insights, healthcare analytics promotes fact-based decision-making and improves overall data planning, measurement, and management
- One of the healthcare industry's biggest challenges is cost reduction that doesn’t compromise patient care. Using analytics & data warehouse software helps maintain the financial health of an organization & essentially allows for more care with less resource expenditure. To focus on patient-centric processes, providers and physicians can implement healthcare analytics to simplify & automate everyday tasks & increase productivity.
- The recent health crises, changing government regulations, and evolving market dynamics continue to complicate the healthcare industry. Such drastic shifts necessitate smarter decisions using data analytics, to stay competitive, improve healthcare delivery, and meet consumer expectations and demands.
(5) Logistics & Supply Chain Management : -
- Embedded data analytics in supply chain management & logistics, empowers you to drive down operational costs by weaving the whole supply chain together fluently.
- Using the right dashboard and data visualizations, it’s possible to hone in on any patterns that uncover inefficiencies within your processes. Data-driven processes will align with your company goals and operational needs, by which a panoramic snapshot of every key component of the supply chain can be acquired.
- Working with a mix of historic (trend-based), real-time, and predictive insights, the supply chain management will be able to make valuable strategic suggestions, take active measures to spot any spiraling trends before they cause organizational damage, and keep on top of every process or operation with pinpoint precision.
(6) Industrial Data Analytics : -
- The goal of industrial analytics is to help improve the quality of an organization's end product. It does this through several processes such as data-driven product optimization, managing defect density levels and analyzing customer feedback and purchasing trends.
- Industrial analytics can also reduce risks and costs associated with downtime or equipment failures. This is accomplished by identifying bottlenecks or unprofitable production lines, and by anticipating failures and decreasing machine downtime to reduce costs with predictive maintenance of critical assets.
- The primary objective here is to go from a simple collection and display of data (descriptive) to being able to leverage that data in real time (predictive) for detection of issues with processes and equipment, reducing costs and maximizing efficiencies throughout the supply chain with less overheads and risks.
Key Features of Embedded Data Analytics
DATA MANAGEMENT
- Bring multiple assets from different data sources into one dashboard for easy access, fast thinking and faster decisions.
- Creation of secured and robust data storage location. It could be structured or unstructured data. We also ensure that it is scalable in terms of size, whenever the volume increases.
- Compile content assets from multiple business intelligence (BI) vendors into a single, integrated analytics dashboard that is accessible to all users at scale.
VISUALIZATION LAYER
- Search, discover, access, personalize and recommend content among multiple BI vendors and solutions from a single hub.
- Tools will be used to visually represent, easy to track & share, with pertinent executives. It will also help to dive deep into granular information of data with advanced filtering options.
- Make confident business decisions informed by real metrics and insights and take the guesswork out of decision making, allowing organizations to automate the composite decision-making process.
PERSONALIZATION
- Use artificial intelligence to recommend content to users and allow for user search customization. Design the platform to be consistent with your organization's branding and customer experience.
- AI and Natural processing methods can spot patterns, trends and make unique predictions. It could spot a unique selling feature of your business or help to identify the root cause of any failures.
- Scale and adjust business objectives and plans as you collaborate across your organization without having to reinvent business processes.
FORECAST OPTIMIZATION
- Integrate operational, profitablity and financial planning and analysis with automated tooling to optimize decision making.
- Predictive analytics identify trends and seasonal patterns in both historical and external data sets and forecasting, which is crucial for forecast optimizations.
- The Data Analytics and Optimization track focuses on using large data sets, computer models, and optimization methods to support data-driven decision-making.
How Augmented Data Intelligence Changes The Way You Work ?
REAL-TIME, CONTINUOUS, INTEGRATED PLANNING
- Adjust organizational plans and forecasts in real time.
- Adapt to changing demands at the speed of business or market events with AI-infused extended planning and analysis.
- Move beyond spreadsheets with simple, web-based interfaces with managed and governed workflows.
DATA DISCOVERY
- Explore your data via automated exploration, visualization and interaction for new data-driven insights.
- Guided advanced analytics functions provide statistical information on data which users can employ for more sophisticated and pattern oriented data analysis.
- The underlying AI suggestion engine uses sophisticated AI algorithms that run against any type of data without the user being aware that processing is happening in the background.
ENTERPRIZE REPORTING
- Scalable reporting for any enterprise to boost your data analytics culture.
- Comprehensive view of the business and its performance with metrics, dashboards, graphs, and other user-friendly business intelligence tools.
- Provide the right data, to the right people, at the right time, in the best way possible.
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