Technoforte is a data science company with over 23 years of experience in business intelligence and analytics, providing solutions for data collection, cleaning, and analysis to help organizations make informed decisions. The company emphasizes the importance of data governance, integration, and migration, utilizing advanced technologies like big data and machine learning for predictive analytics. Their services include setting up data warehouses, implementing visualization tools, and ensuring compliance with regulatory standards, aiming to enhance strategic planning and operational efficiency for businesses.

1. Business Intelligence and Analytics
Technoforte is a Data Science company with more than 23+ years of Business Intelligence
and Advanced Analytics implementation experience for customers across multiple
domains.
What is Business Intelligence and Data Analytics?
BusinessIntelligence and Data Analytics are terms used to describe the procedures, methods,
and equipmentthatare used by organisations to gather, examine, and decipher data in order to
obtainknowledge, createwisejudgements,andaccomplishcorporategoals.Organisations can
leverageusefulinformationproduced bybusiness analytics& business intelligence software to
improve strategic planning, streamline operations, and spot growth possibilities.
Data from many sources, including internal transactional systems, external data sources, and
third-party data providers, is frequently used in business intelligence and data analytics.
Through the use of data modelling, data integration, and data cleaning processes, this data is
transformed into information. After the data has been prepared, it can be analysed and
visualised using a variety of analytical approaches, including advanced analytics, reporting,
dashboards, and data visualisation.
The process of analysing data to find patterns, trends, and insights that might guide decision-
making is known as business analytics. Business Intelligence and Data Analytics can be
diagnostic, predictive, prescriptive, or descriptive. Diagnostic analytics involves analysing
historicaldatatounderstand whathappened in thepast. Predictiveanalyticsusesdatato make
forecastsor predictionsabout thefuture. Prescriptiveanalyticsinvolvesrecommending actions
to maximise outcomes.
Finance, marketing, sales, supply chain management, human resources, and operations are
just a few of the company functions that use business intelligence tools and analytics.
Businessesutilisebusinessanalytics& business intelligencesoftwaretolearn more about their
operations,clients,markets,and rivals. These insights help them plan strategically, streamline
their operations, and boost performance.
With the introduction of new technologies like big data, artificial intelligence (AI), machine
learning, and sophisticated data visualisation tools in recent years, the discipline of business
intelligence and data analytics has advanced. Organisations are now able to handle and
analyse massive amounts of data in real-time, leading to the discovery of fresh insights and
potential for innovation.
What we do:
Data Extraction, Transformation, Loading and Storage
Technoforte provides data cleansing services. Easy availability of clean data from multiple
sourcesinto one comprehensivedatabaseisessentialforanybusiness analyticsneed. Extract,
transform, load (ETL) and extract, load, transform (E-LT) are the two main approaches used to
build a data warehouse.
Data Analytics & Design

2. Turn the data from multiple sources into actionable insights for decision-making. Technoforte
understands your reporting requirements and how the team uses the dashboards at various
levelsof the organization. The summary graphs can be drilled down to the required information
by the users. The right visualization (graphs, bars, charts, lines, gauge, funnel, maps etc.) is
used based on the user requirement.Self-serviceBIissuggestedand implementedtogivemore
power to the tech savvy business users. A question and answer visual can also be designed
using Natural Language.
Predictive Analytics
Making predictions based on historical data and analytics techniques such as statistical
modelling and machine learning. A binary prediction model can be created using dataflow and
training the entities in the dataflow for machine learning. This can help create scored data
reports for better prediction. Technoforte BI team can help customers setup dataflows, link
tables from other dataflows and set up s predictive model using tools such as Microsoft Power
BI, Qlik Sense or Tableau.
Big Data Analytics
Analyse high (growing) volumes of structured transaction data and unstructured data that are
oftenleftuntapped by conventional BI and analytics program. With ease of data collection and
storage, thechallengeishow effectivethisdataisused by theorganization.The key is to be able
to store and organize data and also use it for data insights at the same time. Cutting edge data
warehouse tools like Snowflake and BigQuery are used for this purpose. The Technoforte team
can help companies collect data from disparate data sources, store and cleanse data,
understand company’s requirement and form data sets, identify trends, patterns and data
relations, setup a Machine Learning Model and implement the relevant visualization tools.

3. https://www.technoforte.co.in/solutions/business-intelligence-and-analytics/
Data Governance
Technoforte team can consult organizations with data governance policies and
selection/implementation of right tools, which can help users across the organization in
effective use of accumulated business data. This will be keeping in mind data security, quality
data availability and compliance with regulatory bodies. For example, setting up a data
warehousehelps rightfromdatacollection,datastorage,data availability,dataretirement,data
security and policy compliance. Good data governance not only drives data democratization,
but also increases employees and customers trust, helps data driven decision making and
increases an organizations brand value.
Data Integration and Data Migration
Dataintegration and migration are critical aspects of business intelligence and data analytics,
as they involve the process of extracting, transforming, and loading (ETL) data from various
sources into a data warehouse or analytics platform for analysis and reporting. Here are some
keyconsiderationsfor dataintegrationand migration specific to business intelligence and data
analytics:
• Connectivity to Data Sources: Business intelligence and data analytics frequently
requireconnectivitytoa variety of data sources, including databases, data lakes, cloud

4. storage, APIs, and more. It is vital to make sure that your data migration and integration
procedures can successfully connect to and extract data from various sources.
• Data transformation: The formats, structures, and quality levels of data from various
sourcesmightvary. Strong datatransformation capabilities should be incorporated into
data integration and migration procedures in order to clean, verify, and transform data
intoa standardisedformatappropriate for analysis. Data enrichment, data aggregation,
data profiling, as well as other methods of data cleaning and validation, may be used in
this.
• Data Mapping and Integration Logic: A crucial stage in data integration and migration
for business intelligence and data analytics is mapping data from many sources to a
commondatamodel. To guaranteedatacorrectnessand consistency, it entails defining
the connections between data items, creating data mappings and using integration
logic.