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Welding gas, also known as shielding gas, is an inert/semi-inert gas used extensively in various welding processes, including gas metal arc welding (GMAW), gas tungsten arc welding (GTAW), etc., in order to protect the weld from unwanted contaminants, such as oxygen, nitrogen, water vapor, or other elements in the surroundings.
Performance evaluation of clustering algorithmsijcsity
Clustering is an important data mining technique where
we will be interested in maximizing intracluster
distance and also minimizing intercluster distance. We have utilized clustering techniques for detecting
deviation in product sales and also to identify and compare sales over a particular period of time.
Cl
ustering is suited to group items that seem to fall naturally together, when there is no specified class
for
any
new
item
.
We have
utilizedannual
sales data of a steel major to
analyze Sales V
olume
& Value
with
respect to dependent attributes like products
, customers and quantities sold.
The demand for steel products
is cyclical and
depends on
many factors like customer profile, price
,Discounts
and tax issues.
In this
paper, we have analyzed
sales data
with
clustering
algorithms like K
-
Means
&
EMwhich
revealed many
interesting patterns
useful for improving
sales revenue
and
achieving higher
sales
volume
. Our study
confirms that
partition methods like
K
-
Means & EM algorithms
are better suited to analyze
our sales data
in comparison to D
ensity based methods like
DBSCAN & OPTICS or
H
ierarchical methods like COBWEB
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This webinar is focused on how our AI-based text analytics solutions – First, JKT Social Media Radar; a SaaS-based AI NLP Platform, helping organizations to gain insights on market and customer perceptions on their brands, products & services. Secondly, Sales Promotion Recommendation Engine helps customers to enhance their top-line growth and streamline the bottom-line costs.
KEY TAKEAWAYS:
1) How should a business plan their journey through the Digital data revolution?
2) How can a company make use of digital data to create effective data strategies for the increased outcome(s)?
3) How IT practitioners can catalyst the digital data mining journey and attract business adoption?
4) JKT Social Media Radar solution – What, Why, Supporting Business applications, and more.
5) How can companies reduce operational costs by automating human effort-intensive tasks using cognitive Analytics?
Air Treatment Market by Technology (HEPA Filters, Activated Carbon), Product (Dust Collector, Engine exhaust systems), Application (Exhaust air and Compressed air), Vertical (Manufacturing, Automotive), and Geography - Global Forecast to 2023
Rugged Servers Market with COVID-19 Impact by Offering (Hardware, Software & Services), Type (Dedicated, Standard), Memory Size, Application (Military & Aerospace, Telecommunication, Industrial, Energy & Power, Marine) and Region
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"The global temperature sensor market is projected to grow from USD 5.9 billion in 2021 to USD 8.0 billion by 2028, at a CAGR of 4.5% from 2021 to 2028.
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The PowerAdvocate Should-
Cost Assessment gives you robust market intelligence about the true current costs of equipment and components that are
recalibrated to reflect today’s softer market for commodities.
According to a recent research report by MarkNtel Advisors, the Mattresses Market is projected to expand at a CAGR of about 6.5% over the projection period, or 2022-27. This substantial research serves as an excellent example of a thorough review of the data and information related to the industry's growth.
The study's accurate and thorough examination of the competitive landscape, which includes the fierce struggle among players, enables the organisations to develop their strategies appropriately and outperform their rivals
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[269 Pages Report] Energy and utilities analytics market size, analysis, trends, & forecasts. The global market for energy and utilities analytics categorized by solutions, services, deployment mode, organization size, application, vertical, and by region.
Welding gas, also known as shielding gas, is an inert/semi-inert gas used extensively in various welding processes, including gas metal arc welding (GMAW), gas tungsten arc welding (GTAW), etc., in order to protect the weld from unwanted contaminants, such as oxygen, nitrogen, water vapor, or other elements in the surroundings.
Performance evaluation of clustering algorithmsijcsity
Clustering is an important data mining technique where
we will be interested in maximizing intracluster
distance and also minimizing intercluster distance. We have utilized clustering techniques for detecting
deviation in product sales and also to identify and compare sales over a particular period of time.
Cl
ustering is suited to group items that seem to fall naturally together, when there is no specified class
for
any
new
item
.
We have
utilizedannual
sales data of a steel major to
analyze Sales V
olume
& Value
with
respect to dependent attributes like products
, customers and quantities sold.
The demand for steel products
is cyclical and
depends on
many factors like customer profile, price
,Discounts
and tax issues.
In this
paper, we have analyzed
sales data
with
clustering
algorithms like K
-
Means
&
EMwhich
revealed many
interesting patterns
useful for improving
sales revenue
and
achieving higher
sales
volume
. Our study
confirms that
partition methods like
K
-
Means & EM algorithms
are better suited to analyze
our sales data
in comparison to D
ensity based methods like
DBSCAN & OPTICS or
H
ierarchical methods like COBWEB
[137 Pages Report] The data center colocation market size is expected to grow from USD 31.52 billion in 2017 to USD 62.30 billion by 2022, at a Compound Annual Growth Rate (CAGR) of 14.60%.
[AI Webinar Series P1] - How Advanced Text Analytics Can Increase the Operati...JK Tech
Digitization is considered as the next step-change that will have a bigger impact on businesses than even the internet. To win in the digital journey, companies must act now, or be left behind wondering what happened!
In this webinar series, JKT Smart Analytics demonstrates how they empower their customers to create maximum business value out of this eminent Digital data explosion through digital business empowerment by leveraging the digitization to increase their top-line revenue – customer experience, optimize the bottom-line costs – operational efficiency, enhancing the safety factor and reinventing the business process in line with the changing world.
This webinar is focused on how our AI-based text analytics solutions – First, JKT Social Media Radar; a SaaS-based AI NLP Platform, helping organizations to gain insights on market and customer perceptions on their brands, products & services. Secondly, Sales Promotion Recommendation Engine helps customers to enhance their top-line growth and streamline the bottom-line costs.
KEY TAKEAWAYS:
1) How should a business plan their journey through the Digital data revolution?
2) How can a company make use of digital data to create effective data strategies for the increased outcome(s)?
3) How IT practitioners can catalyst the digital data mining journey and attract business adoption?
4) JKT Social Media Radar solution – What, Why, Supporting Business applications, and more.
5) How can companies reduce operational costs by automating human effort-intensive tasks using cognitive Analytics?
Energy and utilities analytics market vendors by share & growth strategie...DheerajPawar4
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What might I learn?
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Case study by sagar zilpe
1. IC Lead - Sagar Zilpe
Client - Steel Giant
Duration - 8 Months
11 January 2017
Global product launch and Modern Architecture
CASE STUDY Pricing Solution and Market launch Strategy for Steel Manufacturing Giant
Focus area
Steel manufacturers are under immense pressure from a decrease in product price, increase
in demand volatility, and domestic product protectionism.
With an increase in commoditisation of its product lines, our client’s revenues and profit
margins were dwindling. Data was spread across disparate systems such as SAP, Excel,
custom web applications making it difficult for the client to deal with the increasing price
volatility of iron ore and energy. Risk and mitigation for Market launch was alarming great
risk to business.
1
2. Global Steel Industry: The Country Factor
The reconstruction of infrastructure across the world after the Second World War prompted
steel industry rise sharply. Demand exceeded supply resulting high profitability which
translated into capacity augmentation. But since 1970’s the demand plummeted down,
resulting over capacity and high cyclicality in the Industry. The industry regained from 2002
due to China’s booming economy, higher economic developments in other BRIC (Brazil,
Russia, India) countries, emergence of CEE (Central and Easter Europe) countries as rapidly
developing economies and positive economic developments in Triad (Europe, USA and
Japan) etc. Analysts were skeptical about the long term sustainability of the industry.
The concern is vital for the senior managers and the policy makers in the steel industry to
understand the dynamics of this industry and to shape their strategies accordingly.
Our client wanted to develop new pricing techniques that would improve margins. They
wanted to build a current go to market pricing strategy that would help them serve
customers based on the specific cost to serve. The client ask was “to help make sense of
their data to increase profitability and design best way for Market Launch strategy for
customised segment” .
Note - With pre-designed products we found few major gaps that might create huddle in
launch and sales activities, it was utmost important to cater this challenges first hand ,
proactive market launch management to nullify any impact on sales and client branding
2
Its of immense
importance to
identify the
“market ask”
howl designing
a product
rather than to
correct post
launch
-Client Team
3. Solution
Project was kicked-off to design
solution for Steel giant to support them buying
and selling basis analytics solution , support
client teams to gather understanding of
buying behaviours in the market.
The first step in offering actionable
insights to the client was to create an
Enterprise Data Warehouse with the
ability to filter relevant data to specific
users. After developing the data
warehouse, created dashboards that
sourced data and updated in real- time.
These dashboards offered commodity pricing trends and
how business units in the client’s various sales channels
were pricing the products. It also included an industry scorecard that
combined traditional and non- traditional financial indicators.
Product specifications were review and risk objectives were identified to drive “Go to Market
Strategy” . Phase wise approach was deployed to manage Demand and supply basis
analytical understanding
3 Months of successful soft go-live approach was agreed and success measures were at
place to ensure profit-in-hand.
Impact
The reporting and dashboard solutions’ approved user security framework allowed it to be
connected to all data marts and bring data into the warehouse.
This provided the client with a consolidated pricing view of sales and they saw a significant
improvement in profit margins.
Timely reports from our dashboard enabled our client to use this data to make decisions that
were tactical and time-sensitive.
“Iterative approach have lead to successful “Market Launch and Pricing Solution”
3