Outsourcing data analytics can speed up the data transformation journey of a business. Here are the key advantages of outsourcing data analytics.
To Read the Full Article: https://www.datatobiz.com/blog/advantages-of-outsourcing-data-analytics/
All business sizes can benefit from better use of their data to gain insights, how the cloud can help overcome common data challenges and accelerate transformation with the cloud technology
https://www.rapyder.com/cloud-data-analytics-services/
1Running head BUSINESS ANALYTICS IMPLEMENTATION PLANBusin.docxeugeniadean34240
1
Running head: BUSINESS ANALYTICS IMPLEMENTATION PLAN
Business Analytics Implementation Plan
2
Business Analytics Implementation Plan
Table of Contents
· Cover page
1
· Table of contents
2
· Introduction
3
· The business and summery of business analytics
3
· Benefits and disadvantages of business analytics 4
· Organization proactive in addressing any disadvantages 5
· Challenges that the organization may face using business analytics 5
· Business analytic techniques 6
· Implementation plan 8
· Back up proposal 12
· Conclusion 13
· References 15
BUSINESS ANALYTICS
Introduction
Business analytics involves studying of data by means of operations and statistical analysis, formation of models which are predictive, optimization techniques application, and communicating the outcome to clients, associate executives and business associates. Companies which are committed in decision making which is data driven can use business analytics (Alvin, 2008). The company can use business analytics in order for it to gain a clear insight which inform decisions in business. The business analytics can also be applied in business processes’ automating and optimization. Business analytics can be viewed as an intersection between business and technology (Jeanne, 2005).
The business and summery of business analytics that could be applied to the business in multiple scenarios
The firm deals with a wide range of graphics design, which involves creation of items to be used in visual communication and also use of image, type, and space, for problem solving. The business has a lot of clients, and uses technology for daily operations but do not perform data analysis which helps in business decision making. Business analytics will be of great help because it can help the firm to integrate their data and consequently make informed business decisions. The databases which are all independent of each other can be linked as well as the other systems which are not connected.
Since the firm is dealing with graphics design and has a wide variety of clients for different designs, it can apply business analytics in order for it to be able to focus on methods of quantitative and the task of data which is evidence based, in the firm’s business decision making and modeling. This.
Big & Fast Data: The Democratization of InformationCapgemini
Moving from the Enterprise Data Warehouse to the Business Data Lake
Is it possible that ubiquitous analytics represents the next phase of the information age? New business models are emerging, enabled by big data that business leaders are eager to adopt in order to gain advantage and mitigate disruption from start-ups and parallel industries. The winners are likely to be those that master a cultural shift as well as a technology evolution.
Our view is this will be realized through the alignment of a business-centric big data strategy, combined with democratization of the analytical tools, platforms and data lakes that will enable business stakeholders to create, industrialize and integrate insights into their business processes.
Innovative approaches are needed to free up data from silos whilst encouraging both the sharing and the continuous improvement of insights across the business. While it will be evolution for some, revolution for others; the risk of status quo is not just the loss of opportunity but also a widening gap between business and the internal technology functions.
https://www.capgemini.com/thought-leadership/big-fast-data-the-democratization-of-information
All business sizes can benefit from better use of their data to gain insights, how the cloud can help overcome common data challenges and accelerate transformation with the cloud technology
https://www.rapyder.com/cloud-data-analytics-services/
1Running head BUSINESS ANALYTICS IMPLEMENTATION PLANBusin.docxeugeniadean34240
1
Running head: BUSINESS ANALYTICS IMPLEMENTATION PLAN
Business Analytics Implementation Plan
2
Business Analytics Implementation Plan
Table of Contents
· Cover page
1
· Table of contents
2
· Introduction
3
· The business and summery of business analytics
3
· Benefits and disadvantages of business analytics 4
· Organization proactive in addressing any disadvantages 5
· Challenges that the organization may face using business analytics 5
· Business analytic techniques 6
· Implementation plan 8
· Back up proposal 12
· Conclusion 13
· References 15
BUSINESS ANALYTICS
Introduction
Business analytics involves studying of data by means of operations and statistical analysis, formation of models which are predictive, optimization techniques application, and communicating the outcome to clients, associate executives and business associates. Companies which are committed in decision making which is data driven can use business analytics (Alvin, 2008). The company can use business analytics in order for it to gain a clear insight which inform decisions in business. The business analytics can also be applied in business processes’ automating and optimization. Business analytics can be viewed as an intersection between business and technology (Jeanne, 2005).
The business and summery of business analytics that could be applied to the business in multiple scenarios
The firm deals with a wide range of graphics design, which involves creation of items to be used in visual communication and also use of image, type, and space, for problem solving. The business has a lot of clients, and uses technology for daily operations but do not perform data analysis which helps in business decision making. Business analytics will be of great help because it can help the firm to integrate their data and consequently make informed business decisions. The databases which are all independent of each other can be linked as well as the other systems which are not connected.
Since the firm is dealing with graphics design and has a wide variety of clients for different designs, it can apply business analytics in order for it to be able to focus on methods of quantitative and the task of data which is evidence based, in the firm’s business decision making and modeling. This.
Big & Fast Data: The Democratization of InformationCapgemini
Moving from the Enterprise Data Warehouse to the Business Data Lake
Is it possible that ubiquitous analytics represents the next phase of the information age? New business models are emerging, enabled by big data that business leaders are eager to adopt in order to gain advantage and mitigate disruption from start-ups and parallel industries. The winners are likely to be those that master a cultural shift as well as a technology evolution.
Our view is this will be realized through the alignment of a business-centric big data strategy, combined with democratization of the analytical tools, platforms and data lakes that will enable business stakeholders to create, industrialize and integrate insights into their business processes.
Innovative approaches are needed to free up data from silos whilst encouraging both the sharing and the continuous improvement of insights across the business. While it will be evolution for some, revolution for others; the risk of status quo is not just the loss of opportunity but also a widening gap between business and the internal technology functions.
https://www.capgemini.com/thought-leadership/big-fast-data-the-democratization-of-information
Data set Improve your business with your own business dataData-Set
The objective of this module is to gain an overview of how to use the data you already have available in order to improve your business.
Upon completion of this module you will:
-Gain an understanding of how to take advantage of the existing data you already have
-Comprehend the location of where internal data already lies within your company
-Improve your knowledge on how data can help build your brand
The data management procedure employed by your firm is capable of building your brand or breaking it all over. So, be wise in choosing the right strategy.
5 keys to digital transformation for small businessesSameerShaik43
Digital Transformation is crucial for all types & sizes of businesses across the globe. Only then can you overcome increasing competition. But with a limited budget in hand, this can be an intimidating task to undertake. But using the latest technologies can help your business to derive myriads of benefits.
The objective of this module is to gain an overview of how to use the data you already have available in order to improve your business.
Upon completion of this module you will:
Gain an understanding of how to take advantage of the existing data you already have
Comprehend the location of where internal data already lies within your company
Improve your knowledge on how data can help build your brand
Data Strategy - Executive MBA Class, IE Business SchoolGam Dias
For today's enterprise Data is now very much a corporate asset, vital to delivering products and services efficiently and cost effectively. There are few organizations that can survive without harnessing data in some way.
Viewed as a strategic asset, data can be a source of new internal efficiencies, improved competitive advantage or a source of entirely new products that can be targeted at your existing or new customers.
This slide deck contains the highlights of a one day course on Data Strategy taught as part of the Executive MBA Program at IE Business School in Madrid.
Clean data directly impacts businesses processes, improves productivity, and fuels informed decision-making. However, frequent validation of large data volumes requires time, concentration, understanding of data sources, and training in certain tools.
Choosing to outsource data cleansing can get the advantage of a coherent database with minimal effort and at a reasonable cost. But selecting the right person for the job can be difficult. However, you can simplify this process by understanding the best approach, tools, techniques, and advantages of data cleansing. https://www.data-entry-india.com/blog/data-cleansing-outsourcing-company
Take a look at this interesting presentation on ➡ 3 Pillars to become successful with your analytics strategy
Inculcate a culture of analytics, have the right people on-board, get your organization strategy on one page, and have the right architecture and data management strategies in place.
Link: https://bit.ly/2BanJcW
BUSINESS INTELLIGENCE (BI) - Definition, Process, and BenefitDipstrategy
have you known what business intelligence is? the process? and also the benefit for your decision making. business intelligence become completely useful information to be a supporting system for decision making
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
Many business trends—such as globalization, vertical integration, and margin pressure—are forcing manufacturers to find new and innovative ways to improve decision-making and boost performance. Analytics can help.
For more information, visit http://www.deloitte.com/view/en_US/us/Services/additional-services/deloitte-analytics-service/analytics-manufacturers/index.htm
Top 5 Travel Analytics Solutions Companies.pptxKavika Roy
Data analytics has a crucial role in the ever-changing travel industry. It helps businesses stay at the top of the game while increasing ROI. Here, we’ll discuss the top travel analytics solutions provider to partner with in the US market.
Transforming Hotel Data Analytics with a Resilient Datawarehouse.pptxKavika Roy
The travel and hospitality industry is evolving through the adoption of data analytics and BI solutions. This is done by modernizing the hotel data analytics infrastructure. Here, we’ll discuss the ways to build a resilient data warehouse and the role of analytics in the industry.
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Data set Improve your business with your own business dataData-Set
The objective of this module is to gain an overview of how to use the data you already have available in order to improve your business.
Upon completion of this module you will:
-Gain an understanding of how to take advantage of the existing data you already have
-Comprehend the location of where internal data already lies within your company
-Improve your knowledge on how data can help build your brand
The data management procedure employed by your firm is capable of building your brand or breaking it all over. So, be wise in choosing the right strategy.
5 keys to digital transformation for small businessesSameerShaik43
Digital Transformation is crucial for all types & sizes of businesses across the globe. Only then can you overcome increasing competition. But with a limited budget in hand, this can be an intimidating task to undertake. But using the latest technologies can help your business to derive myriads of benefits.
The objective of this module is to gain an overview of how to use the data you already have available in order to improve your business.
Upon completion of this module you will:
Gain an understanding of how to take advantage of the existing data you already have
Comprehend the location of where internal data already lies within your company
Improve your knowledge on how data can help build your brand
Data Strategy - Executive MBA Class, IE Business SchoolGam Dias
For today's enterprise Data is now very much a corporate asset, vital to delivering products and services efficiently and cost effectively. There are few organizations that can survive without harnessing data in some way.
Viewed as a strategic asset, data can be a source of new internal efficiencies, improved competitive advantage or a source of entirely new products that can be targeted at your existing or new customers.
This slide deck contains the highlights of a one day course on Data Strategy taught as part of the Executive MBA Program at IE Business School in Madrid.
Clean data directly impacts businesses processes, improves productivity, and fuels informed decision-making. However, frequent validation of large data volumes requires time, concentration, understanding of data sources, and training in certain tools.
Choosing to outsource data cleansing can get the advantage of a coherent database with minimal effort and at a reasonable cost. But selecting the right person for the job can be difficult. However, you can simplify this process by understanding the best approach, tools, techniques, and advantages of data cleansing. https://www.data-entry-india.com/blog/data-cleansing-outsourcing-company
Take a look at this interesting presentation on ➡ 3 Pillars to become successful with your analytics strategy
Inculcate a culture of analytics, have the right people on-board, get your organization strategy on one page, and have the right architecture and data management strategies in place.
Link: https://bit.ly/2BanJcW
BUSINESS INTELLIGENCE (BI) - Definition, Process, and BenefitDipstrategy
have you known what business intelligence is? the process? and also the benefit for your decision making. business intelligence become completely useful information to be a supporting system for decision making
Few decades ago, Managers relied on their instincts to take business decisions. They could afford to make mistakes and learn from it. Today, the scope for learning from mistakes is very minimal. Instincts should be backed by data to minimise mistakes.
Technological advancements, in addition to opening new channels of communication with customers, have also enabled organizations to collect vital information about their businesses with customers. But, have these organizations fully leveraged this data?
Today, Organizations make use of data for business decisions, but the data is not close enough to the customer to reap maximum benefit. In many cases, importance is not given to the granularity of data. The probability of “customer centric” decisions being right could be high, if the top management makes better use of the end user customer data (such as point of sale data, voice of customer, social media buzz etc.) to devise business strategies.
Many business trends—such as globalization, vertical integration, and margin pressure—are forcing manufacturers to find new and innovative ways to improve decision-making and boost performance. Analytics can help.
For more information, visit http://www.deloitte.com/view/en_US/us/Services/additional-services/deloitte-analytics-service/analytics-manufacturers/index.htm
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Data analytics has a crucial role in the ever-changing travel industry. It helps businesses stay at the top of the game while increasing ROI. Here, we’ll discuss the top travel analytics solutions provider to partner with in the US market.
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The travel and hospitality industry is evolving through the adoption of data analytics and BI solutions. This is done by modernizing the hotel data analytics infrastructure. Here, we’ll discuss the ways to build a resilient data warehouse and the role of analytics in the industry.
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The global AI adoption rate was 35% a couple of years ago. This is expected to increase as more businesses invest in new technology. Another report shows that over 25% of the startup funding in the US went to AI startups in 2023. Around 78% of executives say that they believe generative AI offers more benefits than risks. However, to minimize the risk and maximize profits, the startup should have the necessary expertise and guidance to adopt AI successfully. This can be achieved by partnering with consulting firms offering AI solutions for tech startups in the US and around the globe. Let’s look at the top service providers in this blog.
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About DataToBiz:
DataToBiz is a team of experts who are committed to helping businesses and enterprises adopt advanced technologies like Data Science, Artificial Intelligence, and Business Intelligence technologies. We possess rich experience in designing, implementing, and crafting Data Engineering Solutions, for a wide array of business challenges.
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About DataToBiz:
DataToBiz is a team of experts who are committed to helping businesses and enterprises adopt advanced technologies like Data Science, Artificial Intelligence, and Business Intelligence technologies. We possess rich experience in designing, implementing, and crafting Data Engineering Solutions, for a wide array of business challenges.
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PrepAI: https://www.prepai.io/
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As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
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Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
2. About the Topic
Data analytics is the science with
which a business can utilize raw data
to derive meaningful insights and
conclusions to support business
growth.
Data analysis can help a business
increase productivity and
performance in a variety of areas like
marketing, logistics, finance, sales,
customer service, etc.
Outsourcing data analytics has the
potential to accelerate the growth of
any business.
3. 1. Professional Assistance
By deciding to outsource data analytics,
a business has a chance to access skill
sets that may otherwise be in short
supply in the market.
It is a known fact that talent is in short
supply in the IT industry. As a result, a
business is better placed to have access
to professionals who have deep
expertise in areas like cloud computing,
advanced analytics, big data, data
science and data lakes.
4. 2. Industry Expertise
While some analytics functions are
universal, some industry-specific
functions can prove to be critical in
effective data management.
For instance, sectors like healthcare and
financial services can have specific
analytics functions that are required to
build capabilities in the area of data
analytics.
Therefore, getting an industry partner
that has deep expertise in that particular
sector can help accelerate the data
transformation journey for a business.
5. 3. Easily Scalable
Apart from the fact that outsourcing
services can help a business
achieve data analytics skills quickly,
it is equally helpful in creating a
scalable ecosystem that may
otherwise not be easy or possible to
create with in-house capabilities.
Effective data analytics requires a
level of scalability and complexity
that may not be possible to achieve
in-house.
6. 4. Ensuring Compliance
With the increasing amount of
data, it is becoming increasingly
important for businesses to
comply with various regulations
regarding data capturing,
processing, storage and usage.
With a professional data analytics
partner on your side, the business
is better equipped to understand
and handle compliance
requirements.
7. 5. Greater Use of Data
It is often said that data is the new oil.
With its increasing importance, there is a
possibility to leverage data effectively for
business growth.
As machines have adopted the role of
processing data, the entire value chain of
data and analytics has undergone a
massive shift.
As a result, outsourcing data analytics is
the need of the hour for several
businesses that are looking at making
greater use of data in business
operations.
8. 6. Faster Results
Time is of the essence in the modern
world that we all live in. Businesses are
looking for faster and more effective
results.
By opting to outsource data analytics,
you have a better chance of achieving
faster results.
This is not because the outsourced
team is good at time management
but mainly because you did not have
to spend time setting up the
ecosystem and onboarding & training
the team.
9. 7. Focus on Core Activities
Opting to outsource data analytics
can free up resources for the business
to focus on its core activities.
Whether it is a start-up, a medium-
sized business, or a giant
conglomerate, it is important to have
the right priorities and focus on the
core activities of the business.
A business is better placed to grow in
its core domain rather than following
a hit-and-trial strategy in establishing
data analytics.
10. 8. Lower Costs
Outsourcing the data analytics
function is more cost-effective as
compared to hiring, managing,
training and maintaining an in-
house team of employees.
As the outsourced partner can
achieve economies of scale or
may have lower costs of
operations, a business can spend
less money for better capabilities in
the area of data analytics.
11. Conclusion
The what, why and when of
outsourcing data analytics can be
different for all businesses.
However, as explained above, it has
the potential to bring in several
advantages.
One of the biggest rebuttal counter
viewpoints against data analytics
outsourcing is the need to have
adequate control over the data
management processes of the
organization.
12. Thank You For Reading!
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