Every second, 2.5 quintillion bytes of information is generated to such an extent that about 90% of the existing data in the world has been generated in the last two years itself. The lifeblood of any modern digital enterprise is data. Digital platforms and applications are only effective if they are able to offer value-added functionality and services based on the insight derived from historical and real-time data. With data now being a critical source of competitive advantage, enterprises are cutting across size and geographies seeking newer methods to identify and analyze the data they generate.Harness your data to drive business insights, automation, process improvement and innovation. At Nimaisoft, we help businesses modernize their analytics process through innovative approaches to business intelligence and data architecture. We provide data analytics services to companies across a wide range of industries. With accurately chosen technology stacks, dedicated teams helmed by project managers, we convert your data into an operational and competitive advantage. Depending on your business needs, we offer a suitable combination of different analytics techniques, including Prescriptive Analytics,Predictive Analytics and Descriptive Analytics to make your organization future-ready.Data analytics services from seasoned professionals can provide some much-needed expert support, helping to establish a successful analytics program that delivers tangible results you can’t ignore.
Data engineering is a foundational element for modern businesses. The current market landscape demands agility, detail and innovation, you need to keep your finger on the pulse of your clients and customers whilst monitoring operations to make sure that you’re delivering in areas crucial to your success.
In the past, companies had to deploy a costly enterprise data warehouse, along with data marts, to handle their vast inflows of data, as well as to store, process, and analyze that data.
Our data engineering services will help any company replace their costly, burdensome in-house data infrastructure and turn their data pipelines into robust systems prepared for business analytics. With the growing audience for analytics, both within a given business and across industries, data engineering will become the linchpin that enables the extraction of value from data. We will craft that linchpin for your company.
The massive influx of data witnessed today is both a blessing and a curse. There’s plenty of opportunities, but there’s also a great deal of data to wade through, and not all of it is valuable. Getting bogged down in the flood of big data can be costly and time-consuming, and it can be difficult to parse meaningful insights if you cast too wide a net.
Data and insights are strategic assets that help the business learn about evolving opportunities, hidden threats, changing customer expectations and the competitive landscape, in context and in time to respond meaningfully.
For those in the small and medium-sized business (SMB) segment, however, investing in the appropriate technology, talent, and support infrastructure to analyze the data can be difficult. Factors such as business priorities, location, bandwidth, and cost, are all common pain points that companies face when undergoing data initiatives.
Building a long-term, sustainable relationship with a firm that specializes in data analytics can give your organization the access to technology skill sets to improve your data capabilities, while reducing the cost of your internal IT support services. Nimaisoft will partner with you to deliver data driven results, without the hassle of taking on the underlying expense of building your support team.
Enterprises now more than ever have to build business resilience and ensure continuity in the face of the situation.Data and insights can help build this resilience to help accelerate innovation, increase productivity, enhance customer experience, optimize profit & growth and operational efficiency and mitigate risk.
It is so easy to be lost adrift in the virtual expanse of data. Data management is your only hope of rescue! Our team takes on the mammoth task of quality management, data governance, migration, integration, implementation, and archiving with expertise and skill. Preserve your data, enhance security and get clean, organized and filtered data for your perusal.
Many businesses don’t trust their data, and our job is to ensure that yours is not one of them. Low quality data can take many forms: duplicated, incomplete, erroneous or obsolete data.
The name “dashboard” derives itself from the name of the instrument panel that lives behind your car’s steering wheel. Imagine driving down the road and having to navigate through your car’s dashboard instrument panel in order to find out how much fuel you have left.This example may be a bit of an oversimplification but the point can be simple, a dashboard is a visual representation of the most crucial data.
Dashboards are a mainstay in today’s enterprise-class data analytics tools. Business users regardless of skill level can use these capabilities in order to better understand what is going on inside their organization. Dashboards make it easy for a company to visualize their data by displaying metrics, graphs, gauges, maps, percentages and comparisons of all the information that is streaming in and out of the company. By viewing data this way, the learning curve and time-to-insight are shortened significantly, allowing executives to act on findings sooner.
Dashboards help IT to quickly convert and communicate complex corporate data into meaningful visualizations, revealing key performance indicators (KPIs). Thus, executives are given all the tools they need to drill down even deeper into the analysis so they may reveal what’s really going on.
Dashboards have, in effect, eliminated the need to sift through multiple reports, and in some cases, the data is updated in near real-time. Users also have the ability to custom-fit each dashboard with predefined metrics which allows for even faster data tracking.
Unlock the power of your data with our interactive dashboards and engaging reports that inspire smarter business decisions.
While the dashboard is a summary that means a snapshot of a large set of information, Data Visualization is the process of presenting information, in a form that we can see, with the purpose of furthering our understanding of that information.
Data visualization is the presentation of data in a pictorial or graphical format. It enables decision makers to see analytics presented visually, so they can grasp difficult concepts or identify new patterns. With interactive visualization, you can take the concept a step further by using technology to drill down into charts and graphs for more detail, interactively changing what data you see and how it’s processed.
Data Visualization and a Dashboard are often used in conjunction with each other. If you think back to the weather report on your TV, the long-term temperature graph is an example of Data Visualization, and the single screen of the current conditions, is the Dashboard. Both are effective in relaying specific information, and they work well when used together.
Well-designed visualization solutions enable users to explore “beyond the dashboard”. Nimaisoft will connect business processes with tools, creating a powerful information-rich experience.
Some of the most popular data visualization tools are Excel, Power BI, Tableau, FineReport etc.
Predictive analytics is the use of data, statistical algorithms and machine learning techniques to identify the likelihood of future outcomes based on historical data. The goal is to go beyond knowing what has happened to providing a best assessment of what will happen in the future.
Predictive analytics gives you insights into individual cases (individual customers, employees, and systems..etc). This makes predictive analytics actionable. It opens the door to immediate improvements and results by applying the insights from the analytics.
Organizations are turning to predictive analytics to help solve difficult problems and uncover new opportunities.Predictive data analytics examples are wide-ranging:
Our predictive analysis goes beyond the data and tools to increase operational efficiencies, predict outcomes, mitigate risk, associate with every data point to make informed decisions.
Data algorithms play a huge role. Our analytical models run one or more algorithms like time-series algorithms, association algorithms, regression algorithms, clustering algorithms, decision trees, outlier detection algorithms and neural network algorithms.We offer various Predictive analytics models based on the customer requirement:
Forecast models
Classification models
Outliers Models
Time series model
Clustering Model
Business intelligence (BI) is increasingly being used by the world’s savviest brands — both small and large. Companies have discovered that it is impossible to make the next smart business decision without first gathering and interpreting key data points. The data-intensive nature of businesses puts business intelligence at the core of success.
Without creating a business intelligence strategy, your organization is at risk of being uninformed which leads to risky investments. In addition to informing your own business decisions, a proper BI strategy and assessment provides your customers and investors with measurables and a plan to attain greater value. Our BI developers help organizations to uncover insights hidden in their data and enhance data exploration.
With our comprehensive suite of BI solutions, we strive to put data to work by leveraging modern BI tools and expertise in data analytics. Our BI consultants help develop data-driven strategies that supply insights into key areas, support your decision-making process, identify emerging trends, and unlock the hidden value in data.
Does your enterprise have access to high-quality, accurate data that is integrated and readily accessible? Confronted by challenges of migration, integration, changing regulatory compliance and technology convergence, companies struggle to seamlessly manage and standardize the entire data lifecycle. A robust data management solution provides clarity for effective decision making, better risk management, lower operational cost and better analytics.
The reports built on disintegrated data cannot show a full and consistent picture. We know how to unite flows from disparate data sources. Keeping in mind your data types, we can come up with a relevant BI or big data architecture, as well as a data warehouse or a data lake design (or both, if needed). This will make your reporting more comprehensive.
